Embedded Systems Engineer Jobs in Kuwait

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply <br> Pass qualification(s) <br> Join a project <br> Complete tasks <br> Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply. Pass qualification(s). Join a project. Complete tasks. Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <ul> <li>Apply</li> <li>Pass qualification(s)</li> <li>Join a project</li> <li>Complete tasks</li> <li>Get paid</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</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><\/p><p><\/p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for physicists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational physics problems that simulate real physics research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;</li> <li>Base problems on real research challenges or practical applications from physics practice;</li> <li>Verify solutions using Python with standard physics simulation libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Physics (Theoretical, Experimental, or Computational) or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Experience with numerical simulation methods;</li> <li>Ability to design problems that mirror real physics research workflows;</li> <li>Creative thinking in problem design across diverse physics areas;</li> <li>Familiarity with physics modeling and approximation techniques;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>About the job</h4> <p><strong>Employment type:</strong> Contract (On-site)<br> <strong>Contract length:</strong> 12 months (with potential extension)<br> <strong>Location:</strong> Kuwait<br> <strong>Function:</strong> Corporate banking / Payments / Commercial cards</p> <h4>Purpose of the project</h4> <p>We are seeking a seasoned banking professional to lead the growth and expansion of our Commercial Cards and B2B payments portfolio in Kuwait. The role will focus on driving corporate client acquisition, scaling cardable supplier payment opportunities, and strengthening the bank's position as a strategic partner for enterprise clients. The ideal candidate brings strong expertise in commercial cards, corporate banking, and payment solutions, with a proven track record in business development, portfolio growth, and stakeholder management.</p> <h4>Core responsibilities and accountabilities</h4> <ul> <li>Drive growth of the commercial card's portfolio across large corporates and mid-market segments.</li> <li>Identify and unlock B2B supplier payment opportunities and increase card penetration.</li> <li>Develop and execute go-to-market strategies aligned with regional priorities.</li> <li>Manage relationships with corporate clients including MNCs and enterprises.</li> <li>Position the bank as a trusted advisor in supplier payments and working capital optimization.</li> <li>Support product development and commercial card solution launches.</li> <li>Collaborate with internal stakeholders across transaction banking, risk, and operations.</li> <li>Conduct market and competitor analysis to enhance offerings.</li> </ul> <h4>Knowledge and experience</h4> <ul> <li>12 to 18+ years of experience in corporate banking, payments, or commercial cards.</li> <li>Strong expertise in B2B payments and corporate client management.</li> <li>Proven track record in business development and revenue growth.</li> <li>Experience managing corporate portfolios and cross-functional teams.</li> <li>Strong stakeholder management and communication skills.</li> </ul> <h4>Key competencies</h4> <ul> <li>Strategic thinking and commercial acumen</li> <li>Client relationship management</li> <li>Sales leadership and execution</li> <li>Product innovation and market development</li> <li>Data-driven decision making</li> </ul> <h4>Mandatory skills</h4> <ul> <li>Strong experience across the GCC banking markets.</li> <li>Previous experience within banking, digital payment & card solutions, or the FinTech industry.</li> <li>Ability to work in a fast-paced matrix organisation.</li> <li>Excellent communication skills in English (written, verbal, and presentation); fluency in Arabic is an advantage.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Ability to analyse data, troubleshoot payment issues, optimize processes, and make data-driven decisions.</li> <li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li> <li>Understanding of regional regulations across financial services or payment networks.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Insurance, Risk Management, Business Administration, Finance, Law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Evaluate AI-generated auto insurance claims decisions for accuracy, coverage correctness, and regulatory compliance;</li> <li>Design FNOL scenarios with deliberate contradictions, decoy files, and outdated documents to test agent robustness;</li> <li>Write and grade fraud-flagging scenarios using structured reason codes (late reporting, recently purchased policy, inconsistent damage) for SIU referral;</li> <li>Build subrogation test cases applying state-specific negligence rules (comparative vs. contributory) and assess likelihood of recovery;</li> <li>Document test cases clearly with correct answers, policy citations, and payout calculations.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in insurance claims, legal services, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in insurance, risk management, business administration, finance, law, or any related field;</li> <li>3+ years of insurance, claims, legal, or financial services experience;</li> <li>Current or recent experience in claims and adjusting or adjacent roles;</li> <li>Familiarity with auto insurance coverage decisions, state-specific negligence rules, and adjuster authority-limit culture;</li> <li>AIC, CPCU, CIFI, or SCLA credential is a strong positive signal, though not required if hands-on experience is solid;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply > Pass qualification(s) > Join a project > Complete tasks > Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <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> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design and evaluate quarterly business review scenarios — performance vs. benchmark, allocation drift against IPS tolerance bands, and material fund document changes;</li> <li>Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs. long-term capital gains, and wash-sale rule application;</li> <li>Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's investment policy statement;</li> <li>Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks;</li> <li>Document test cases clearly with verified calculations, policy citations, and correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in finance, economics, business administration, accounting, mathematics, statistics, or any related field;</li> <li>2+ years of finance, investment, accounting, or financial services experience;</li> <li>Current or recent experience in advisory and management or adjacent roles;</li> <li>Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and investment policy statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>About the role</h4> <p>We are recruiting a techno-functional Card Fraud Operations Specialist to support a card fraud transformation programme with a leading financial institution. This is a hands-on, delivery-focused engagement centred on optimising fraud detection systems, tuning rules and thresholds, and strengthening card fraud operations end to end.</p> <p>The role sits predominantly on the technical side of the fraud function (approximately 75% technical, 25% business), and suits a specialist who is comfortable working directly in production fraud platforms while translating operational and regulatory needs into system configuration.</p> <p>Strong, current, hands-on FICO Falcon experience is the core requirement for this role.</p> <h4>Requirements</h4> <h4>Key responsibilities</h4> <ul> <li>Own and optimise fraud detection within FICO Falcon - writing and tuning rules, strategies, thresholds, custom variables, and scoring logic</li> <li>Configure and tune detection strategies across the wider platform stack (including Cain and Korus)</li> <li>Analyse fraud patterns and chargeback trends to inform detection and prevention strategy</li> <li>Manage and reduce fraud exposure across the card portfolio, including chargeback handling (Code 69) and MCV processes</li> <li>Review and refine detection performance, balancing fraud capture against false-positive and customer-friction impact</li> <li>Support the wider card fraud transformation programme, working with operations, risk, and technical stakeholders</li> <li>Provide post-implementation support and iterative tuning through the contract term</li> </ul> <h4>Required experience and skills</h4> <ul> <li>Strong, hands-on FICO Falcon experience - rule writing, threshold setting, strategy configuration, and model tuning in a live environment (essential)</li> <li>10-12 years' experience in card fraud, with deep specialist expertise in card fraud operations</li> <li>Working knowledge of Cain and Korus platforms</li> <li>Strong command of chargeback processes, including Code 69, and MCV</li> <li>Demonstrable experience in fraud system optimisation - configuring and tuning detection rules and thresholds in a live environment</li> <li>Techno-functional profile: able to work directly in fraud platforms while engaging business and operations stakeholders</li> <li>Analytical rigour and a data-led approach to fraud strategy and performance measurement</li> </ul> <h4>Desirable</h4> <ul> <li>Prior experience delivering fraud transformation or system-optimisation programmes for banks or card issuers</li> <li>Exposure to GCC or wider regional card fraud operations</li> <li>Experience working within vendor or consulting engagements alongside in-house fraud teams</li> </ul></p><p></p>

<p><h4>About the role</h4> <p>We are recruiting a techno-functional card fraud operations specialist to support a card fraud transformation programme with a leading financial institution. This is a hands-on, delivery-focused engagement centred on optimising fraud detection systems, tuning rules and thresholds, and strengthening card fraud operations end to end.</p> <p>The role sits predominantly on the technical side of the fraud function (approximately 75% technical, 25% business), and suits a specialist who is comfortable working directly in production fraud platforms while translating operational and regulatory needs into system configuration.</p> <p>Strong, current, hands-on FICO Falcon experience is the core requirement for this role.</p> <h4>Requirements</h4> <h4>Key responsibilities</h4> <ul> <li>Own and optimise fraud detection within FICO Falcon - writing and tuning rules, strategies, thresholds, custom variables, and scoring logic</li> <li>Configure and tune detection strategies across the wider platform stack (including Cain and Korus)</li> <li>Analyse fraud patterns and chargeback trends to inform detection and prevention strategy</li> <li>Manage and reduce fraud exposure across the card portfolio, including chargeback handling (Code 69) and MCV processes</li> <li>Review and refine detection performance, balancing fraud capture against false-positive and customer-friction impact</li> <li>Support the wider card fraud transformation programme, working with operations, risk, and technical stakeholders</li> <li>Provide post-implementation support and iterative tuning through the contract term</li> </ul> <h4>Required experience and skills</h4> <ul> <li>Strong, hands-on FICO Falcon experience - rule writing, threshold setting, strategy configuration, and model tuning in a live environment (essential)</li> <li>10-12 years' experience in card fraud, with deep specialist expertise in card fraud operations</li> <li>Working knowledge of Cain and Korus platforms</li> <li>Strong command of chargeback processes, including Code 69, and MCV</li> <li>Demonstrable experience in fraud system optimisation - configuring and tuning detection rules and thresholds in a live environment</li> <li>Techno-functional profile: able to work directly in fraud platforms while engaging business and operations stakeholders</li> <li>Analytical rigour and a data-led approach to fraud strategy and performance measurement</li> </ul> <h4>Desirable</h4> <ul> <li>Prior experience delivering fraud transformation or system-optimisation programmes for banks or card issuers</li> <li>Exposure to GCC or wider regional card fraud operations</li> <li>Experience working within vendor or consulting engagements alongside in-house fraud teams</li> </ul></p><p></p>

<p><h4>Opportunity overview<\/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\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\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\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\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\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n\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><\/p><p><\/p>

<p><h4>About the job</h4> <p><strong>Employment type:</strong> Contract (On-site)<br> <strong>Contract length:</strong> 12 months (with potential extension)<br> <strong>Location:</strong> Kuwait<br> <strong>Function:</strong> Corporate banking / Payments / Commercial cards</p> <h4>Purpose of the project</h4> <p>We are seeking a seasoned banking professional to lead the growth and expansion of our Commercial Cards and B2B payments portfolio in Kuwait. The role will focus on driving corporate client acquisition, scaling cardable supplier payment opportunities, and strengthening the bank's position as a strategic partner for enterprise clients. The ideal candidate brings strong expertise in commercial cards, corporate banking, and payment solutions, with a proven track record in business development, portfolio growth, and stakeholder management.</p> <h4>Core responsibilities and accountabilities</h4> <ul> <li>Drive growth of the commercial card's portfolio across large corporates and mid-market segments.</li> <li>Identify and unlock B2B supplier payment opportunities and increase card penetration.</li> <li>Develop and execute go-to-market strategies aligned with regional priorities.</li> <li>Manage relationships with corporate clients including MNCs and enterprises.</li> <li>Position the bank as a trusted advisor in supplier payments and working capital optimization.</li> <li>Support product development and commercial card solution launches.</li> <li>Collaborate with internal stakeholders across transaction banking, risk, and operations.</li> <li>Conduct market and competitor analysis to enhance offerings.</li> </ul> <h4>Knowledge and experience</h4> <ul> <li>12/18+ years of experience in corporate banking, payments, or commercial cards.</li> <li>Strong expertise in B2B payments and corporate client management.</li> <li>Proven track record in business development and revenue growth.</li> <li>Experience managing corporate portfolios and cross-functional teams.</li> <li>Strong stakeholder management and communication skills.</li> </ul> <h4>Key competencies</h4> <ul> <li>Strategic thinking and commercial acumen</li> <li>Client relationship management</li> <li>Sales leadership and execution</li> <li>Product innovation and market development</li> <li>Data-driven decision making</li> </ul> <h4>Mandatory skills</h4> <ul> <li>Strong experience across the GCC banking markets.</li> <li>Previous experience within banking, digital payment & card solutions, or the FinTech industry.</li> <li>Ability to work in a fast-paced matrix organisation.</li> <li>Excellent communication skills in English (written, verbal, and presentation); fluency in Arabic is an advantage.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Ability to analyse data, troubleshoot payment issues, optimize processes, and make data-driven decisions.</li> <li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li> <li>Understanding of regional regulations across financial services or payment networks.</li> </ul></p><p></p>