وظائف مطورى واجهة مستخدم

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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: 8+ 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 paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs 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 cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; 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> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 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> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 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"> <p><span>Position: </span><span>Director, Centre for Teaching &amp; Learning (CTL)</span><br></p><br> <p><span>Classification:</span> Director Level<br><span>Reports To:</span> Vice President for Academic Affairs <br><span>About The American International University</span></p><br> <p>American International University (AIU) is a private institution in Kuwait, founded in 2019, offering undergraduate programs in Engineering, Architecture and Design, Business Administration, Arts and Sciences, and Education, delivered in English on the American model of higher education. AIU serves a community of over 3,000 students and is executing the RISE Strategy 2026–2030 a five-year institutional transformation anchored in research development, WSCUC international accreditation, student success, and community engagement.</p><br> <p>Teaching and learning excellence is one of the University's principal strategic foundations and an essential enabler of every pillar of the RISE Strategy. Without it, research does not flourish, accreditation evidence is weak, students do not succeed, and employability outcomes disappoint. The Director of the Centre for Teaching &amp; Learning is the person who builds, sustains, and continuously improves that foundation making this one of the most consequential academic leadership appointments AIU will make.</p><br> <p>For more information, visit: www.aiu.edu.kw<br></p><br> <p><span>Department Profile</span></p><br> <p>The Centre for Teaching &amp; Learning (CTL) is AIU's institutional hub for teaching excellence, faculty development, and learning innovation. It operates under the Office of the VPAA and serves all five schools and the Foundation Programme working with over 120 full-time faculty and a growing adjunct complement. The CTL is newly established as one of AIU's strategic academic support centres under the Office of the Vice President for Academic Affairs. The Director serves as its founding leader, responsible for building the Centre's programmes, culture, partnerships, and institutional reputation from the ground up.</p><br> <p><span>The CTL carries three interconnected institutional mandates at AIU:</span></p><br> <ol> <li>Faculty Excellence &amp; Development: Building a culture of teaching excellence across AIU through structured professional development, peer observation, new faculty induction, individual coaching, and the scholarship of teaching and learning.</li> <li>Learning Innovation &amp; Digital Education: Advancing instructional design, educational technology integration, and evidence-based pedagogy ensuring that every AIU course, regardless of modality, reflects current best practice and produces documented student learning outcomes.</li> <li>Assessment, Accreditation &amp; Institutional&nbsp; Evidence: Generating, curating, and maintaining the teaching and learning evidence that WSCUC accreditation requires the CTL Knowledge Repository, SLO assessment data, faculty development participation records, and the annual Teaching &amp; Learning Impact Report.</li> </ol> <p><span>Scope of Work</span><br></p><br> <p>The Director of the Centre for Teaching &amp; Learning provides strategic and operational leadership across five interconnected domains all of which must function simultaneously and reinforce each other. The Director is simultaneously a faculty developer, an instructional designer, an assessment specialist, a grant administrator, and an institutional evidence builder. The Director also serves as an institutional change leader, fostering a culture of continuous improvement, innovation, collaboration, and evidence-informed educational practice across all academic units. This is not a role for a specialist who does one of these well; it is a role for a leader who does all of them, and who can build a centre that extends their capacity through institutional culture and peer networks.</p><br> <p><span>Key Responsibilities</span></p><br> <p><span>1. Faculty Professional Development</span></p><br> <ul> <li>Design, deliver, and continuously evaluate a structured, evidence-based faculty development programme across AIU covering evidence-based pedagogy, inclusive teaching, active learning, hybrid and online instruction, AI in teaching, student assessment design, and academic writing for publication</li> <li>Lead the New Faculty Induction Programme each September a structured, multi-day orientation covering AIU's mission and RISE Strategy, the SLO assessment cycle, course file requirements, LMS and technology tools, academic freedom, shared governance, and the CTL's services</li> <li>Establish and facilitate Faculty Learning Communities peer groups organised around shared teaching interests, disciplinary challenges, or pedagogical themes as the primary vehicle for sustained, collegial professional development</li> <li>Coordinate and manage the peer observation of teaching cycle providing the framework, training observers, facilitating feedback conversations, and maintaining confidential records that support faculty development without functioning as a surveillance mechanism</li> <li>Provide individual faculty consultations on course design, assessment strategy, student engagement, and teaching effectiveness functioning as a trusted advisor, not an evaluator</li> <li>Develop and maintain the CTL professional development calendar, ensuring that sessions are scheduled at times accessible to all faculty including those with heavy teaching loads, offered in formats appropriate to different needs, and evaluated for effectiveness after each cycle</li> <li>Coordinate academic leadership development workshops for Programme Coordinators, Department Chairs, Associate Deans and Deans in collaboration with the Office of Faculty Affairs.</li> <li>Develop an institutional teaching certification pathway aligned with the UK Professional Standards Framework (Advance HE) or equivalent international framework.</li> </ul> <p>&nbsp;<span>2. </span><span>Instructional Design &amp; Educational Technology</span></p><br> <ul> <li>Lead instructional design support for AIU's academic programmes assisting Deans, Department Chairs, and individual faculty in designing courses that align learning outcomes with instructional activities and assessment methods, regardless of delivery modality</li> <li>Advance AIU's capacity in online and hybrid course design building internal expertise, establishing course quality standards, and ensuring that digital learning experiences are as rigorous and engaging as in-person instruction</li> <li>Coordinate with the CTO and Digital Transformation Office on educational technology adoption evaluating new tools for pedagogical value, training faculty in their use, and ensuring that technology serves learning goals rather than displacing them</li> <li>Develop and maintain a practical institutional policy on the use of Generative AI in teaching and learning balancing innovation with academic integrity, and ensuring that faculty understand how to design assessments that remain valid in an AI-enabled environment</li> <li>Build and maintain the CTL Knowledge Repository a curated collection of teaching resources, case studies, grant outputs, peer observation frameworks, and WASC evidence artefacts available to all AIU faculty and retained as institutional evidence</li> <li>Work collaboratively with the Office of Graduate Studies in developing high-quality graduate teaching and supervision practices.</li> <li>Support the design of microcredentials, executive education and lifelong learning initiatives where appropriate.</li> </ul> <p><span>3. Student Learning Outcomes Assessment Training</span></p><br> <ul> <li>Coordinate AIU's institutional SLO assessment Training, working with the Assessment Coordinator and VPAA to ensure that faculty collect, analyse, and document PLO achievement data each semester using consistent, valid assessment methods</li> <li>Train faculty in SLO/PLO design, assessment method selection, rubric development, and close-the-loop documentation transforming assessment from an administrative requirement into a genuine teaching improvement tool</li> <li>Support the Assessment Coordinator in producing the Annual Institutional Effectiveness Report's teaching and learning section the evidence document that WSCUC requires</li> <li>Maintain CTL records of faculty participation in assessment activities, professional development sessions, and peer observation</li> <li>Conduct an annual Teaching &amp; Learning Impact Report, documenting CTL programme participation rates, faculty satisfaction with CTL services, changes in student learning outcomes attributable to CTL interventions, and grant and award outcomes presented to the VPAA and Faculty Council each May</li> <li>Coordinate workshops on authentic assessment in AI-enabled learning environments.</li> <li>Collaborate with Quality Assurance in analysing institutional trends relating to student achievement and learning outcomes.</li> </ul> <p><span>4. RISE Teaching &amp; Learning Grant Programme Administration</span></p><br> <ul> <li>Administer the AIU Teaching &amp; Learning Grant Program including the Teaching Excellence &amp; Innovation Grant, the Undergraduate Research Integration Grant, and the Annual Award for Innovation in Teaching, managing the annual call for applications, review committee formation, awardee notification, fund disbursement, and completion report collection</li> <li>Mentor the grant recipients through the implementation of their projects, providing consultations, connecting them with relevant expertise, and ensuring their work is disseminated to the broader faculty community</li> <li>Organise the annual CTL Teaching &amp; Learning Forum, AIU's flagship event for sharing teaching innovation, recognising grant recipients and award winners, and building the faculty community around shared commitment to excellence</li> <li>Produce and maintain the CTL website and newsletter as a living resource for faculty, communicating available services, upcoming events, grant opportunities, and teaching resources in a format that invites engagement</li> <li>Identify and apply for external funding opportunities, from Kuwait Foundation for the Advancement of Sciences (KFAS), regional higher education networks, and international foundations, to supplement the RISE grant budget and expand the CTL's programme capacity</li> <li>Promote interdisciplinary educational innovation projects involving multiple Schools.</li> <li>Publish annual summaries of funded projects highlighting institutional impact and transferable good practice.</li> </ul> <p><span>5. Strategic Leadership &amp; Institutional Partnership</span></p><br> <ul> <li>Serve as AIU's institutional voice on teaching and learning, advising the VPAA, Deans, and Faculty Council on evidence-based teaching standards, assessment practices, and faculty development priorities</li> <li>Build and maintain partnerships across AIU's institutional functions, with the ALO for accreditation evidence, with the Assessment Coordinator for SLO cycle management, with the CTO for educational technology, with the Registrar for course quality data, and with Student Affairs for student success initiatives</li> <li>Represent AIU in regional and international teaching and learning networks, including the POD Network, HERDSA, and GCC university teaching and learning forums, building relationships and bringing back best practice that benefits AIU faculty</li> <li>Where a joint academic appointment is agreed, teach one course per year in a relevant discipline or in the scholarship of teaching and learning, maintaining personal credibility as a practising educator and eligibility to participate in Faculty Council</li> <li>Contribute to AIU's WSCUC self-study, addressing faculty development, assessment, and teaching quality providing documented evidence of CTL activity and impact</li> </ul> <p><span>Minimum Qualifications: </span></p><br> <p><span>Education</span></p><br> <p>Doctoral degree (PhD or EdD) in Education, Higher Education Pedagogy, Instructional Design, Curriculum and Instruction, Educational Technology, or a closely related discipline required for joint academic appointment eligibility; strongly preferred for the administrative role.</p><br> <p><span>Experience</span></p><br> <ul> <li>Minimum seven (7) years of progressive experience in higher education, with at least three (3) years in a leadership role at a teaching and learning centre, faculty development office, or equivalent institutional function</li> <li>Demonstrated experience leading or managing a Centre for Teaching &amp; Learning, or equivalent institutional function, in a GCC university context</li> <li>Documented experience designing and delivering faculty professional development programmes including workshops, learning communities, peer observation systems, and online development resources for diverse faculty audiences in a multicultural GCC environment</li> <li>Proven experience in instructional design across multiple delivery modalities face-to-face, hybrid, and online with working knowledge of Canvas or equivalent LMS</li> <li>Demonstrated experience with SLO/PLO assessment design, rubric development, and close-the-loop documentation in an accreditation context WASC, AACSB, or comparable quality framework experience is a significant advantage</li> <li>Experience administering faculty development grants or awards managing competitive application processes, review committees, fund disbursement, and outcome reporting</li> <li>Demonstrated experience supporting institutional strategic planning and organisational change within higher education.</li> <li>Experience collaborating with academic quality assurance, accreditation, and institutional effectiveness initiatives.</li> </ul> <p><span>Technical and Pedagogical Knowledge</span></p><br> <ul> <li>Deep, current knowledge of evidence-based pedagogy active learning, inclusive teaching, culturally responsive instruction, universal design for learning, and the scholarship of teaching and learning (SoTL)</li> <li>Proficiency with Canvas (LMS) or equivalent platform both as a course designer and as a platform administrator supporting faculty adoption</li> <li>Working knowledge of educational technology tools relevant to GCC higher education including AI tools for teaching and learning, audience response systems, digital assessment platforms, and collaboration tools</li> <li>Knowledge of WSCUC accreditation standards particularly CFRs 2.3, 2.4, 2.5, 2.8, 2.9, and 3.3 and how CTL evidence maps to self-study requirements</li> <li>Familiarity with the Advance HE Professional Standards Framework (PSF) or equivalent teaching quality framework is an advantage particularly for designing a faculty teaching qualification pathway</li> </ul> <p><span>Skills, Competencies and Personal Attributes</span></p><br> <ul> <li>The credibility to walk into a room of experienced faculty from diverse national and disciplinary backgrounds and be taken seriously not as a trainer, but as a peer colleague who happens to know more about pedagogy than most</li> <li>The cultural intelligence to build trust and engagement in a GCC university where teaching culture, professional norms, and attitudes toward feedback vary significantly</li> <li>Excellent English oral and written communication the ability to write clearly for different audiences, from a workshop handout to a WSCUC self-study section to a newsletter article that faculty actually read</li> <li>Arabic language proficiency is an advantage particularly for engagement with Arabic-speaking Kuwaiti faculty and with external stakeholders including PUC</li> <li>Strong programme management capability the ability to run multiple concurrent programmes (induction, grants, peer observation, forum, website, repository) without dropping any of them</li> <li>Genuine intellectual engagement with teaching the Director of a CTL must be the institution's most enthusiastic advocate for the idea that teaching can always be better, and that better teaching produces better outcomes for students</li> <li>Demonstrated ability to influence institutional culture without direct line authority.</li> <li>Ability to build consensus among academic leaders with differing priorities.</li> </ul> <p><span>Preferred Qualifications</span></p><br> <ul> <li>Prior experience establishing or significantly expanding a CTL at a GCC university candidates who have built something from the ground up are particularly valuable given AIU's founding-director context</li> <li>Fellowship of Advance HE (FHEA) or Senior Fellowship (SFHEA) demonstrating internationally recognised teaching quality credentials that can anchor a faculty teaching qualification pathway at AIU</li> <li>Published research or professional thought leadership on teaching and learning in higher education particularly in GCC or Arab higher education contexts, or in the scholarship of teaching and learning (SoTL)</li> <li>Experience managing AI-related teaching and learning policy including responsible AI use frameworks, assessment design in an AI-enabled environment, and faculty training on generative AI tools</li> <li>Prior experience contributing to a WSCUC, QAA, AACSB, or comparable accreditation self-study in the teaching and learning or faculty development sections providing direct documentation skills that will accelerate AIU's WASC process</li> <li>Familiarity with Kuwait's higher education context PUC requirements, Kuwaiti student characteristics, Kuwait Vision 2035 workforce priorities enabling contextually grounded programme design from day one</li> <li>Experience in curriculum transformation.</li> <li>Experience leading digital transformation.</li> <li>Experience establishing institutional communities of practice.</li> </ul> <p><span>How to Apply</span></p><br> <p>Interested candidates should visit the Job Opportunities section on the AIU website and submit a complete application comprising:</p><br> <ul> <li>A current curriculum vitae</li> <li>A cover letter (maximum 3 pages) addressing three specific questions: (1) Describe a faculty development programme or centre initiative you personally designed and led in a GCC university, what was the starting state, what did you build, and how do you know it worked? (2) How do you build trust and engagement with faculty who are sceptical about CTL services, what is your strategy for turning opt-out faculty into advocates? (3) What is your vision for the AIU Centre for Teaching &amp; Learning's role in the WASC accreditation process?</li> <li>A brief teaching philosophy statement (maximum one page) not abstract, but specific: what do you believe about how university faculty learn to teach better, and how does that belief shape what you would do at AIU?</li> <li>Contact details for three professional referees at least two of whom can speak to your centre leadership or faculty development work, and at least one of whom is a faculty member you have supported</li> </ul> <p>Applications are reviewed on a rolling basis. The selection process includes a structured interview with the VPAA and a teaching and learning strategy presentation to a panel including the VPAA, two Deans, and a Faculty Council representative reflecting the shared governance principles that the CTL Dire</p> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a skilled RPA Developer with hands-on experience in UiPath to design, develop, and implement automation solutions that streamline business processes. The ideal candidate should have strong problem-solving skills, solid programming knowledge, and a good understanding of RPA best practices.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and deploy UiPath automation workflows.</li><li>Collaborate with business analysts to understand process requirements and translate them into technical solutions.</li><li>Integrate automation solutions with various applications, APIs, and databases.</li><li>Perform testing, troubleshooting, and debugging of automated processes.</li><li>Maintain and enhance existing automation solutions.</li><li>Ensure security, scalability, and compliance in automation design.</li><li>Create and maintain technical documentation for automated processes.</li><li>Provide post-implementation support and resolve production issues.</li></ul><p><strong>Required Skills &amp; Qualifications:</strong></p><ul><li>Proven experience (4+ years) in UiPath Studio, Orchestrator, and related components.</li><li>Strong understanding of RPA concepts, best practices, and development life cycle.</li><li>Proficiency in .NET, C#, VB.NET, or Python for automation scripting.</li><li>Experience with SQL databases and API integrations.</li><li>Knowledge of workflow design, exception handling, and logging mechanisms.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience (4+ years) in UiPath Studio, Orchestrator, and related components. Strong understanding of RPA concepts, best practices, and development life cycle. Proficiency in .NET, C#, VB.NET, or Python for automation scripting. Experience with SQL databases and API integrations. Knowledge of workflow design, exception handling, and logging mechanisms.</p><p></p></section>

<p>Technical lead for Web Squad (React.js). Owns web portal delivery, component library, and frontend architecture.</p><br><ol><li><p>Lead React.js development practices across the Web Squad.</p></li><li><p>Provide guidance on:</p></li></ol><p>-React component design</p><p>-Hooks and reusable logic</p><p>-State management approaches</p><p>-Frontend testing strategies</p><p>-Performance optimization</p><p>-Modern JavaScript/TypeScript practices</p><p>-Conduct technical reviews and ensure adherence to coding standards.</p><p>-Resolve complex technical challenges and guide developers toward effective solutions.</p><br><ol start="3"><li><p>Own the end-to-end technical delivery of web portals and front-end applications.</p></li><li><p>Provide technical leadership throughout the application lifecycle, including design, development, testing, deployment, and support.</p></li><li><p>Translate business requirements and UX designs into scalable frontend solutions.</p></li><li><p>Ensure web portals meet performance, usability, accessibility, and security standards.</p></li><li><p>Manage technical dependencies with backend services, APIs, and external integrations.</p></li><li><p>Define and maintain frontend architecture standards and best practices.</p></li><li><p>Design scalable React.js application structures using modern frontend patterns.</p></li><li><p>Establish guidelines for:</p><p>-React component design</p><p>- Application structure</p><p>- State management</p><p>- Routing</p><p>- API integration</p><p>- Error handling</p><p>- Performance optimization</p><p>- Code organization</p></li></ol><br><ol start="11"><li><p>Review and approve frontend technical designs and implementation approaches</p></li><li><p>Drive architectural improvements and reduction of frontend technical debt.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in computer science, Software Engineering, Information Technology, Computer Engineering, or related technical discipline.</p></li><li><p>React.js or JavaScript/TypeScript professional certifications</p></li><li><p>Web accessibility certification (e.g., WCAG-related training)</p></li><li><p>Experienced Packaged App Development professional leading technical and functional project application delivery. Brings 10+ years in Microsoft web development using C#, API services, and SQL technologies, with strengths in project management, sprint planning, application design, testing, debugging, and client support.</p></li><li><p>Kuwait based / Transferable Visa</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Scope of work:</b></p><p>Technical Support Engineer is responsible for providing technical assistance, troubleshooting hardware and software issues, and ensuring the smooth operation of IT systems and end-user support.</p><p><br></p><p><b>Key Responsibilities:</b></p><ul><li>Provide technical support and services for ID Card Printers.</li><li>Provide first and second-level technical support for hardware, software, and network-related issues.</li><li>Install, configure, and maintain desktop computers, laptops, printers, scanners, and other IT peripherals.</li><li>Install, configure, and troubleshoot operating systems, applications, and business software.</li><li>Respond to user support requests via phone, email, ticketing systems, or in person within agreed service levels.</li><li>Diagnose and resolve hardware, software, network, and connectivity issues.</li><li>Configure and maintain user accounts, email accounts, and access permissions.</li><li>Monitor system performance and ensure the availability of IT infrastructure.</li><li>Perform preventive maintenance, system updates, and software patch installations.</li><li>Escalate complex technical issues to senior engineers or vendors when necessary.</li><li>Maintain accurate records of incidents, service requests, and resolutions in the helpdesk system.</li><li>Support LAN/WAN connectivity, Wi-Fi networks, VPN access, and basic network troubleshooting.</li><li>Assist in the deployment of new hardware, software, and IT infrastructure projects.</li><li>Ensure compliance with IT security policies, antivirus protection, and data backup procedures.</li><li>Provide user training and guidance on IT systems, software applications, and cybersecurity best practices.</li><li>Coordinate with vendors for equipment repairs, warranty claims, and technical support.</li><li>Prepare technical documentation, user manuals, and system configuration records.</li><li>Participate in disaster recovery and business continuity activities as required.</li><li>Perform any other IT support duties assigned by the IT Manager or management</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Education:</b></p><ul><li>Bachelor’s degree in IT/ Computer Science / Engineering&nbsp;</li></ul><p><br></p><p><b>Qualifications and Skills:</b></p><ul><li>Knowledge of Windows operating systems, Microsoft 365, Active Directory, networking, and troubleshooting hardware. </li><li>Familiarity with ticketing systems and remote support tools. </li><li>Strong analytical, problem-solving, and communication skills. </li><li>Ability to work independently and provide excellent customer service</li><li>Bachelor’s degree in IT/ Computer Science / Engineering </li><li>Must be a certified engineer from the submitted ID card printer manufacturer.</li><li>CCNP certificate.</li><li>Certified in servers' administration.</li></ul><p><br></p><p><b>Experience:</b></p><ul><li>3–5 years of experience in technical support or IT helpdesk operations. </li><li>Must have a minimum of 5 years' experience in ID card Printers Hardware &amp; software Deployment &amp; Maintenance.</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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: 8+ 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 paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<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>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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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: 8+ 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 paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $200/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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 Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> 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>