Real Estate Sales Jobs in Kuwait
1161 Jobs Found
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n <li>5+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $50\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<ul>\n <li>Apply<\/li>\n <li>Pass qualification(s)<\/li>\n <li>Join a project<\/li>\n <li>Complete tasks<\/li>\n <li>Get paid<\/li>\n<\/ul>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation:<\/h4>\n<p>Up to $200\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 30 hours each; you set your own schedule.<\/p><\/p><p><\/p>
<h2 class="h5">Job description</h2>
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<p>Staff Analyst</p><br><br><br><p><b>Company:</b></p><br><br>Boeing Operations International Incorporated Kuwait<br><br><p><b>Job Title: Staff Analyst</b></p><br><br><br><p><b>Position Overview</b></p><br><br><p>Develop and maintain relationships and partnerships with customers, peers, business partners and direct reports. Responsible for site/entity compliance with local laws, Boeing policies and procedures, develops and manages the operating budget. Performs operations management and compliance, Business Support services and traveler assistance for multiple delegated business activities such as Enterprise Services, Site Services, Finance & Business, Security & Fire Protection and Supplier Management. Implements HR processes for international local hire employees (i.e. onboarding, leave services and employment termination) and provides guidance and assistance for international assignee with routine issues or concerns. Performs facility operations and assists with non-real-property planning and project administration, and facilities provisioning. Coordinates office and property accounting, invoicing, cost analysis, tax or other business objectives through collecting, processing and distributing cost or financial data. Implements organization policies, programs, processes and procedures for the purpose of safeguarding people, property, information and the environment while ensuring compliance with applicable government and company security and fire regulations (e.g., business preparedness, country evacuation planning and crisis management, secure badge renewals). Supports procurement agent at local site in negotiating vendor costs and in coordinating and organizing activities.</p><br><br><br><p><b>Position Responsibilities:</b></p><br><br><p>The successful candidate will perform the following duties:</p><br><br><ul><li><p>Create quarterly, monthly and annual reports and presentations to include PMR, CDRL, KPI and other site reports</p><br><br></li><li><p>Staffing report updates</p><br><br></li><li><p>Create visit requests, base pass requests, car pass requests, exit letters, salary certificate</p><br><br></li><li><p>Create interview booklets, interview panels, schedule interview appointments</p><br><br></li><li><p>Update organizational charts, organize onboard training, support employees exit procedures</p><br><br></li><li><p>Assist all new hires with expense reports and on boarding</p><br><br></li><li><p>Provide Business Support by becoming a CRI focal, monitor CRI projects, participate in Lean Ambassador, Support on BPSM’s and become a qualified Lean Ambassador</p><br><br></li><li><p>Support in all aspects of contract preparations</p><br><br></li><li><p>Control Account Management (CAM) Assistant and attend all CAM meetings and finance reviews</p><br><br></li></ul><br><p><b>Basic Qualifications (Required Skills/Experience)</b></p><br><br><ul><li><p>High School Diploma or GED</p><br><br></li><li><p>1+ Year experience in a business support services-based role</p><br><br></li><li><p>Effective influencing skills working with managers and supervisors.</p><br><br></li><li><p>Demonstrable experience in effective verbal and written communications</p><br><br></li><li><p>Communicates confidently and persuasively with a clear sense of audience and appropriate tone.</p><br><br></li><li><p>Demonstrates logical thought processes in communications.</p><br><br></li><li><p>Articulates complex issues in a concise and readily understood manner.</p><br><br></li><li><p>This position requires the ability to work independently under time constraints and stress, in a demanding, on call, around the clock operational environment.</p><br><br></li></ul><br><p><b>Preferred Qualifications (Desired Skills/Experience)</b></p><br><br><ul><li><p>Ability to adapt to non-English speaking cultural environment, work independently with minimal supervision and be flexible in terms of working hours and shifts.</p><br><br></li><li><p>Experience supporting C-17 Globemaster III program and Foreign Military Sales (FMS) in a multi-national environment is a plus.</p><br><br></li><li><p>Strong customer focus (both external and internal).</p><br><br></li><li><p>Ability to work on multiple tasks when under pressure</p><br><br></li></ul><br><p><b>Typical Education & Experience</b></p><br><br><ul><li><p>Bachelor's degree and typically more than 5 years' relevant work experience</p><br><br></li></ul><br><p><b>Relocation:</b></p><br><br><p>This position offers relocation based on candidate eligibility.</p><br><br><p>Employer is willing to sponsor applicants for employment visa status</p><br><br><br><p>This requisition is for an international, locally hired position in Kuwait Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll and will be commensurate with experience and qualifications and in accordance with applicable Kuwaiti law. Employment is subject to the candidate's ability to satisfy all Kuwaiti labor and immigration formalities.</p><br><br><br><br><p><b><b><b>Language Requirements:</b></b></b></p><br><br><br>Not Applicable<br><br><p><b>Education:</b></p><br><br>Not Applicable<br><br><p><b>Relocation:</b></p><br><br>This position offers relocation based on candidate eligibility.<br><br><p><b>Security Clearance:</b></p><br><br>This position does not require a Security Clearance.<br><br><p><b>Visa Sponsorship:</b></p><br><br>Employer willing to sponsor applicants for employment visa status.<br><br><p><b>Contingent Upon Award Program</b></p><br><br>This position is not contingent upon program award<br><br><p><b>Shift:</b></p><br><br>Not a Shift Worker (Kuwait)<br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p><b>Role Summary</b></p><p><b>Johnson & Johnso</b>n MedTech is seeking an Electrophysiology Clinical & Commercial Graduate to join our team in Kuwait on a 12-month contract . This unique development opportunity is designed for ambitious individuals looking to build a career in the field of Cardiac Electrophysiology (EP) , one of the most advanced specialties in cardiovascular healthcare. The graduate will receive hands-on exposure to the latest EP technologies, including the CARTO 3 Cardiac Mapping System , while supporting clinical procedures, physician education, and commercial activities. Working alongside experienced clinical specialists and sales professionals, the graduate will learn how 3D mapping technology is used to diagnose and treat complex cardiac arrhythmias and gain valuable insight into both the clinical and business aspects of a global healthcare organization. Throughout the program, the graduate will develop competencies in cardiac anatomy, electrophysiology procedures, mapping and navigation technologies, customer engagement, and healthcare sales excellence. This role offers a unique opportunity to gain real-world experience within a market-leading medical technology company while contributing to innovative solutions that help improve patient outcomes.</p><p>Key Learning Areas and Responsibilities</p><ul><li>Support Clinical Specialists during electrophysiology procedures and physician training activities.</li><li>Learn to operate and utilize the CARTO 3 3D Mapping System in live clinical environments under supervision.</li><li>Develop an understanding of cardiac arrhythmias, electrophysiology workflows, and ablation procedures.</li><li>Assist with case preparation, system setup, and post-procedure documentation.</li><li>Participate in physician education programs, workshops, and scientific events.</li><li>Support commercial and sales teams in customer engagement and territory activities.</li><li>Gain exposure to business planning, account management, and healthcare market dynamics.</li><li>Collaborate with cross-functional teams across Clinical, Sales, Marketing, and Professional Education functions.</li><li>Maintain the highest standards of compliance, patient safety, and professional conduct.</li></ul><p><b>What You'll Gain</b></p><ul><li>Comprehensive training in cardiac electrophysiology and advanced mapping technologies.</li><li>Practical experience with the industry-leading CARTO 3 Mapping System .</li><li>Exposure to both clinical support and commercial excellence within Johnson & Johnson MedTech.</li><li>Mentorship from experienced clinical and sales professionals.</li><li>Development of technical, communication, and business skills within a global healthcare leader.</li><li>A strong foundation for future careers in clinical applications, medical device sales, marketing, or healthcare leadership.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Nationality Requirement: Applicants must hold Kuwaiti nationality to be considered for this role.</p><p>A minimum of a Bachelor s degree Biomedical Engineering, Pharmaceutical Science, Science, Medicine or related discipline is required.</p><p>Experience: Entry level no previous experience required. Fresh graduates with strong potential and learning agility will be considered.</p><p>Professional proficiency in written and spoken English & Arabic .</p><p>Required Skills: Preferred Skills:</p><p></p></section>
<h2 class="h5">Job description</h2>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux & Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>
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<span>About the engagement Capitex is a specialist Financial Crime Compliance talent provider.<br> We are engaging a consultant-level Fraud Data Analyst for a 6-month engagement at the centre of a leading regional bank's 24/7 digital fraud operation - a build-phase environment where the data and analytics layer is being created, not inherited.<br> This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely from the UK, and from Month 3 the role relocates onsite to the bank's offices in Kuwait City for the remainder of the term.<br> Onsite presence in Kuwait from Month 3 is a firm requirement of the role, not a preference - please only apply if you are genuinely able and willing to relocate for the onsite phase.<br> Working pattern is standard bank hours, Sunday to Thursday, with start-time flexibility for UK-based delivery during the remote phase.<br> The role You will be the senior data capability of the fraud operation - a consultant, not a colleague: expected to own the analytics agenda, drive it forward, and mentor the bank's own analysts as you do.<br> The operation runs a modern fraud estate spanning behavioural biometrics on the digital channels, an enterprise card fraud monitoring platform, a newly implemented fraud case management system, and the bank's core and online banking data.<br> Your job is to make that estate speak: correlate data across all of it, find the fraud patterns, and convert what you find into detection.<br> What you will do Query, extract and correlate data across multiple systems and databases - digital channel telemetry, card fraud alerts, case management records, core and online banking data - to identify fraud patterns, emerging typologies and detection gaps.<br> Convert analysis into action: build the evidence base for new and tuned detection rules, and deliver concrete rule recommendations to the operation's rule-writers, with measured impact on false positives and detection rates.<br> Design and build the dashboards, views and management reporting on rule performance, alert outcomes and fraud losses that the operation's leadership runs on.<br> Take a central role in the bank's new Microsoft Fabric data lake programme - designing and building the fraud analytics layer on it over the coming months.<br> Mentor and upskill the bank's own analyst team - knowledge transfer is an explicit and valued part of this seat, including through the operation's pairing arrangements.<br> Support post-incident and thematic reviews with data deep-dives, working alongside the team's L1/L2 analysts and senior fraud investigator.<br> What we are looking for Consultant-level experience in fraud or financial crime data analytics - typically 5+ years - within banking, payments or fintech, with the seniority to own the analytics agenda and advise, not just execute.<br> Strong Python and strong SQL - both essential and both tested at screening.<br> A quantified track record: losses reduced, false positives cut, detection improved - with your name on the numbers.<br> Experience building operational dashboards and management reporting (Power BI, Tableau or equivalent).<br> Experience with fraud platform data structures is an advantage, not a requirement - the ability to interrogate unfamiliar systems' output matters more than any named product.<br> Behavioural biometrics or card fraud platform exposure is a plus.<br> AML-blended analytics backgrounds are welcome where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it.<br> Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead.<br> Clear English and the credibility to present analysis and recommendations to senior stakeholders.<br> Confirmed availability for an immediate start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.<br> A passport with 12+ months' validity is required.<br> Engagement details 6-month consultancy agreement with Capitex, with extension possible on client renewal.<br> Competitive all-inclusive monthly consultancy fee, with an additional housing allowance during the onsite phase.<br> Flight to Kuwait and visa sponsorship for the onsite phase covered; visa is client-sponsored.<br> Contracting through your own limited company is welcome - the end client is wholly overseas, so the UK off-payroll (IR35 Chapter 10) rules do not apply to this engagement; status assessment rests with your company.<br> Fees paid gross in USD with no deductions at source.<br> Kuwait levies no personal income tax; your own tax position depends on your residence and is your responsibility.<br> Laptop provided by Capitex; client systems access configured by the bank.<br></span> </div>
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<span>Mindrift is looking for skilled F rontend Developers (HTML/CSS/JavaScript, React/Next.<br>js) to join the Tendem project (https://tendem.<br>ai/) and build high-quality landing pages and multi-page websites within our hybrid AI + human environment.<br> In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide frontend craftsmanship, design sensibility, and quality control to ensure pixel-perfect, conversion-ready websites that match real client briefs.<br> This part-time remote opportunity is ideal for professionals with hands-on experience in landing page production, multi-page website development, and modern frontend frameworks.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Frontend Developer, you'll design, build, and refine landing pages, waitlist pages, promo pages, and small multi-page sites (portfolios, restaurant sites, small business sites, simple online stores), turning client briefs into responsive, performant, polished web experiences.<br> Key Responsibilities Build landing pages, waitlist pages, and promo pages with clear hero sections, CTAs, and conversion-focused layouts.<br> Build small multi-page websites (Home, About, Services, Contact, etc.<br>) that follow client requirements and basic information architecture.<br> Implement responsive, mobile-first layouts that work cleanly across devices and browsers.<br> Integrate forms, email capture, basic analytics, and simple CMS or headless content sources.<br> Apply on-page SEO basics (semantic HTML, meta tags, performance, accessibility) so pages are ready to rank and run ads against.<br> Evaluate AI-generated frontend output and refine markup, styling, structure, and copy placement to production quality.<br> Troubleshoot layout, performance, and cross-browser issues independently.<br> Requirements and benefits At least 3 years of relevant experience in frontend development, landing page production, or website development (required) Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, Design, or related fields is a plus Candidates should have a strong foundation in modern frontend development, responsive web design, and building high-quality landing pages and small websites.<br> We are looking for specialists who can create polished, conversion-focused user experiences, work confidently with modern frontend frameworks, and refine AI-assisted output into production-ready interfaces.<br> A strong visual eye, attention to detail, and the ability to work independently are essential Strong command of HTML, CSS, and JavaScript, including responsive design, Flexbox, and Grid Hands-on experience with at least one modern frontend framework (React, Next.<br>js, Vue, Astro, or similar) Experience with utility-first CSS (Tailwind) or modern component libraries Ability to translate Figma designs or written briefs into clean, maintainable code Familiarity with form handling, email capture services, and basic analytics setup (GA4, Plausible, or similar) Working knowledge of on-page SEO, accessibility (WCAG basics), and Core Web Vitals Comfortable working with simple CMSs or headless content (Webflow, Framer, Sanity, Contentful, or similar) is a plus Strong attention to detail and visual taste — pages should look intentional, not generic Self-directed work ethic with the ability to deliver complete pages with minimal supervision Portfolio of shipped landing pages and/or small websites (required) English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br></span> </div>
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<p><b>About Four Seasons:</b></p><br><br><p>Four Seasons is powered by our people. We are a collective of individuals who crave to become better, to push ourselves to new heights and to treat each other as we wish to be treated in return. Our team members around the world create amazing experiences for our guests, residents, and partners through a commitment to luxury with genuine heart. We know that the best way to enable our people to deliver these exceptional guest experiences is through a world-class employee experience and company culture.<br>At Four Seasons, we believe in recognizing a familiar face, welcoming a new one and treating everyone we meet the way we would want to be treated ourselves. Whether you work with us, stay with us, live with us or discover with us, we believe our purpose is to create impressions that will stay with you for a lifetime. It comes from our belief that life is richer when we truly connect to the people and the world around us.</p><br><br><br><br><p><b>About the location:</b></p><br><br>A resort-like sanctuary in Kuwait’s heart. Discover a modern urban sanctuary in the heart of Kuwait City: a contemporary curation of Middle Eastern architecture, dazzling art and resort-like spaciousness, where striking sculptures seamlessly merge with traditional design. In this enclave of wonder – the first and only hotel in Kuwait to receive the prestigious Forbes Five-Star rating – you’ll find soaring rooftop restaurants, leisure facilities and the city’s largest guest rooms. Catch up with friends in the chic surrounds of Al Soor (known as La Chocolaterie of Kuwait), relax in air-conditioned cabanas by the infinity pool, ascend to a buzzing rooftop and wander the lush adjacent parkland. And with the city’s malls and souks within a few minutes’ drive, you can experience all the spoils of the city without spoiling your precious relaxation time.<br><br><p><b>What You Will Do:</b> </p><br><br><ul><li><p>Grow the restaurant business, by working with OpenTable to optimize seating capacity and increase the business volume </p><br><br></li></ul><ul><li><p>Drive the average check and food to beverage ratio to maximize average spend per guest </p><br><br></li></ul><ul><li><p>Be a local ambassador, be highly connected with local concierges, real estate, transportation companies etc. </p><br><br></li></ul><ul><li><p>Work with PR and Marketing to promote the restaurant to influencers, local concierge, business professionals and hotel guests. This also includes liaising with the Catering team to promote and execute restaurant buyouts and private dining events. </p><br><br></li></ul><ul><li><p>Entertain influencers, journalists, and business promoters </p><br><br></li></ul><ul><li><p>Handle guest service enhancements and glitch resolution in case of guest complaints or negative comments and ensure full closure of this, to the guest's satisfaction not only while guests are dining, but with on-line reviews as well. </p><br><br></li></ul><ul><li><p>The ideal candidate will be a strong communicator and will be able to handle and diffuse employee issues with ease. </p><br><br></li></ul><ul><li><p>Accountable for Financial Performance, Restaurant P&L, Guest satisfaction, maintaining server and culture standards and driving best practices. </p><br><br></li></ul><ul><li><p>Responsible for the development and success of the Restaurant team, </p><br><br></li></ul><ul><li><p>Responsible for building the relationship with Front and Back of House teams and ensuring a strong partnership and active and timely communication with Restaurant Chef. </p><br><br></li></ul><ul><li><p>Be present at all times of high occupancy to ensure that professional, courteous and efficient guest service is offered, following the standards and sequence of service. </p><br><br></li></ul><ul><li><p>Establish and maintain adequate equipment and product par stock. </p><br><br></li></ul><ul><li><p>Ability to stay current with F&B offerings in the area and international trends in order to drive activations and pop-ups that are relevant to the market. </p><br><br></li></ul><br><p><b>What You Bring:</b> </p><br><br><ul><li><p>Two + years' experience years of previous managerial experience in fast paced Food and Beverage setting required, preferably in a luxury resort environment. Previous experience with MICROS or other POS systems preferred. </p><br><br></li></ul><ul><li><p>Must have working knowledge of division operations, service, cost control, labor control and accounting. </p><br><br></li></ul><ul><li><p>Requires the ability to operate computer equipment and knowledge of Open Table and Microsoft applications. </p><br><br></li></ul><ul><li><p>Elevated Leadership skills and cross-cultural sensitivity, and customer service orientation </p><br><br></li></ul><ul><li><p>Guest centricity and understanding the importance of guest’s preferences. </p><br><br></li></ul><br><br><p><b>What We Offer</b></p><br><br><ul><li><p>Full board single living accommodation in a high quality, well-resourced accommodation with Wi-Fi internet.</p><br><br></li><li><p>Complimentary nights at FS Hotels worldwide.</p><br><br></li><li><p>Regular social and sporting events</p><br><br></li><li><p>Paid home leave tickets</p><br><br></li><li><p>Free transportation to and from work with Wi-Fi internet.</p><br><br></li><li><p>Private medical insurance</p><br><br></li></ul><br><p><b>Work Authorization</b></p><br><br><p>Hotel will apply for the work authorization for the successful candidate</p><br><br><p><br>We look forward to receiving your application!</p><br><br><br><br><br><br><br><br> </div>
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Description <p>At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.</p><br><br> <p>As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.</p><br><br> <p><strong>Job Function: </strong></p><br><br> MedTech Sales <p><strong>Job Sub Function: </strong></p><br><br> Clinical Sales – Surgeons (Commission) <p><strong>Job Category:</strong></p><br><br> Professional <p><strong>All Job Posting Locations:</strong></p><br><br> Kuwait City, Kuwait <p><strong>Job Description:</strong></p><br><br> <p><strong>Role: </strong>Graduate CAS Trainee - Electrophysiology</p><br><br> <p><strong>Duration</strong>: 12 months</p><br><br> <p><strong>Location</strong>: Kuwait– Field-Based</p><br><br> <p><strong>Start Date:</strong> Immediate</p><br><br> <p><strong>Role Summary</strong></p><br><br> <p><strong>Johnson & Johnson MedTech</strong> is seeking an <strong>Electrophysiology Clinical & Commercial Graduate </strong>to join our team in Kuwait on a <strong>12-month contract</strong>. This unique development opportunity is designed for ambitious individuals looking to build a career in the field of <strong>Cardiac Electrophysiology (EP)</strong>, one of the most advanced specialties in cardiovascular healthcare.</p><br><br> <p>The graduate will receive hands-on exposure to the latest EP technologies, including the <strong>CARTO® 3 Cardiac Mapping System</strong>, while supporting clinical procedures, physician education, and commercial activities. Working alongside experienced clinical specialists and sales professionals, the graduate will learn how 3D mapping technology is used to diagnose and treat complex cardiac arrhythmias and gain valuable insight into both the clinical and business aspects of a global healthcare organization.</p><br><br> <p>Throughout the program, the graduate will develop competencies in cardiac anatomy, electrophysiology procedures, mapping and navigation technologies, customer engagement, and healthcare sales excellence. This role offers a unique opportunity to gain real-world experience within a market-leading medical technology company while contributing to innovative solutions that help improve patient outcomes.</p><br><br> <p><strong>Key Learning Areas and Responsibilities</strong></p><br><br> <ul><li><p>Support Clinical Specialists during electrophysiology procedures and physician training activities.</p><br><br></li><li><p>Learn to operate and utilize the <strong>CARTO® 3 3D Mapping System</strong> in live clinical environments under supervision.</p><br><br></li><li><p>Develop an understanding of cardiac arrhythmias, electrophysiology workflows, and ablation procedures.</p><br><br></li><li><p>Assist with case preparation, system setup, and post-procedure documentation.</p><br><br></li><li><p>Participate in physician education programs, workshops, and scientific events.</p><br><br></li><li><p>Support commercial and sales teams in customer engagement and territory activities.</p><br><br></li><li><p>Gain exposure to business planning, account management, and healthcare market dynamics.</p><br><br></li><li><p>Collaborate with cross-functional teams across Clinical, Sales, Marketing, and Professional Education functions.</p><br><br></li><li><p>Maintain the highest standards of compliance, patient safety, and professional conduct.</p><br><br></li></ul> <p><strong>What You'll Gain</strong></p><br><br> <ul><li><p>Comprehensive training in cardiac electrophysiology and advanced mapping technologies.</p><br><br></li><li><p>Practical experience with the industry-leading <strong>CARTO® 3 Mapping System</strong>.</p><br><br></li><li><p>Exposure to both clinical support and commercial excellence within Johnson & Johnson MedTech.</p><br><br></li><li><p>Mentorship from experienced clinical and sales professionals.</p><br><br></li><li><p>Development of technical, communication, and business skills within a global healthcare leader.</p><br><br></li><li><p>A strong foundation for future careers in clinical applications, medical device sales, marketing, or healthcare leadership.</p><br><br></li></ul> <p><strong>Requirements:</strong></p><br><br> <ul><li><p><strong>Nationality Requirement:</strong> Applicants must hold Kuwaiti nationality to be considered for this role.</p><br><br></li><li><p>A minimum of a Bachelor’s degree <strong>Biomedical Engineering, Pharmaceutical Science, Science, Medicine</strong> or related discipline is required.</p><br><br></li><li><p>Experience: <strong>Entry level </strong>– no previous experience required. Fresh graduates with strong potential and learning agility will be considered.</p><br><br></li><li><p>Professional proficiency in written and spoken <strong>English </strong>& <strong>Arabic</strong>.</p><br><br></li></ul> <p><strong>Required Skills: </strong></p><br><br> <p><strong>Preferred Skills:</strong></p><br><br>
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<h2 class="h5">Job description</h2>
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<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills & Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy& Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>