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 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>

<p>The Quality Assurance and Documentation Engineer is responsible for ensuring application quality, stability, and knowledge continuity across all systems. This role combines hands-on testing with structured technical documentation, ensuring that functional behavior, system architecture, integrations, and processes are fully understood, documented, and repeatable.</p><p>Responsibilities:</p><p><strong>Quality Assurance &amp; Testing</strong></p><ul><li>Plan, design, and execute functional, regression, and smoke test cases for web, API, Windows client, and mobile applications.</li><li>Validate business requirements against implemented features and acceptance criteria.</li><li>Test multi-tenant scenarios, role-based access, and permission logic.</li><li>Validate integrations with external systems (e.g., payment gateways).</li><li>Perform data validation testing on SQL Server to ensure data accuracy and integrity.</li><li>Identify, log, and track defects using Jira / Azure DevOps.</li><li>Verify bug fixes and prevent regressions.</li><li>Support User Acceptance Testing (UAT) and pre-production validation.</li></ul><p><strong>Release &amp; Environment Validation</strong></p><ul><li>Validate deployment readiness for QA, UAT, and Production environments.</li><li>Perform post-deployment verification and smoke testing.</li><li>Support hotfix validation and emergency releases.</li><li>Coordinate with DevOps and Development teams to ensure environment stability.</li></ul><p><strong>Test Documentation &amp; Standards</strong></p><ul><li>Create and maintain: test plans, test cases, test scenarios, and regression suites</li><li>Define and improve QA processes and testing standards.</li><li>Ensure repeatable, auditable testing practices aligned with SDLC.</li></ul><p><strong>Application &amp; Technical Documentation</strong></p><ul><li>Document application components including: modules and features, application flows, APIs and integrations, data flows and dependencies, and background jobs and scheduled processes.</li><li>Maintain up-to-date documentation for: architecture overview, deployment flows, and environment configurations</li><li>Ensure documentation is structured, accessible, and version controlled.</li><li>Work closely with developers to capture technical knowledge accurately.</li></ul><p><strong>Knowledge Management &amp; Transition</strong></p><ul><li>Lead documentation activities during vendor transition and knowledge transfer.</li><li>Ensure critical system knowledge is captured and not retained by individuals.</li><li>Support onboarding of new team members using documented materials.</li><li>Actively reduce single-point-of-failure risks.</li></ul><p><strong>SDLC &amp; Process Compliance</strong></p><ul><li>Ensure QA activities are embedded in the SDLC.</li><li>Validate that acceptance criteria are met before release approval.</li><li>Support sprint planning by estimating QA effort.</li><li>Participate in retrospectives to improve quality processes.</li></ul><p><strong>Tools &amp; Automation (Progressive)</strong></p><ul><li>Support test automation initiatives where applicable.</li><li>Collaborate with DevOps on CI/CD quality gates.</li><li>Identify opportunities to improve testing efficiency and coverage.</li></ul><p><strong>Collaboration &amp; Communication</strong></p><ul><li>Work closely with development team lead, developers, and technical delivery lead, DevOps &amp; Infra teams.</li><li>Provide clear quality status and risk visibility.</li><li>Escalate quality risks early.</li></ul><p><strong>Job Relations:</strong></p><p>Reports to IT Manager. Works closely with Development, DevOps, Infra, and Product teams. Coordinates with business stakeholders during UAT.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in computer engineering, computer science, or a related field.</p><p>3-6 years of experience in QA or software testing, and documentation</p><p>Strong understanding of SDLC and testing methodologies.</p><p>Experience testing: Web applications, APIs, and SQL-based systems</p><p>Strong documentation and communication skills.</p><p>Detail-oriented with strong analytical skills.</p><p><strong>Competencies:</strong></p><ul><li>Experience with enterprise or multi-tenant systems.</li><li>Experience documenting legacy systems.</li><li>Exposure to ASP.NET Zero / abp.io.</li><li>Experience working with distributed teams.</li><li>Familiarity with basic test automation concepts.</li></ul><p><strong>Skills &amp; Languages:</strong></p><ul><li>Proficiency with Agile tools (e.g., Jira)</li><li>Understanding of software development life cycle and agile methodologies.</li><li>Good knowledge of partner/system integration principles (APIs, data exchange formats, etc.)</li><li>Fluent in English (required).</li><li>Arabic proficiency (preferred).</li></ul>

<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"> <p><b>Job Requisition ID #</b></p><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>26WD99671<p><i>The ATL operates within Autodesk’s Sales Evolution framework, partnering closely with Account Executives (AE/AR) to drive pipeline progression, deal velocity, and long-term customer value.</i></p><br><p><i>Success in this role is measured by the ability to prioritise effectively, orchestrate technical engagements at scale, influence deal outcomes, and drive repeatable, high-impact technical strategies across accounts.</i></p><br><p><u><b><span>Main Responsibilities:</span></b></u></p><br><p><b><span>Technical Strategy &amp; Account Alignment:</span></b></p><br><ul><li><p>Own the technical strategy across assigned territory accounts</p><br></li><li><p>Align Autodesk solutions to customer business outcomes, challenges, and priorities</p><br></li><li><p>Translate discovery insights into clear technical approaches and engagement plans</p><br></li><li><p>Balance depth vs. scale-ensuring the right level of technical investment per opportunity</p><br></li></ul><p><b><span>Opportunity Orchestration &amp; Execution:</span></b></p><br><ul><li><p>Act as the central coordination point for all technical engagement within opportunities</p><br></li><li><p>Determine which technical specialists (TSS/partners) to engage, when, and at what depth</p><br></li><li><p>Guide opportunity progression through structured technical validation and alignment</p><br></li><li><p>Ensure consistency in messaging, approach, and solution positioning across engagements</p><br></li></ul><p><b><span>Discovery Leadership &amp; Value Framing:</span></b></p><br><ul><li><p>Lead or shape discovery for strategic and high-impact opportunities</p><br></li><li><p>Ensure discovery connects customer pain points to measurable business outcomes</p><br></li><li><p>Leverage tools such as Value Management Platform (VMP) and Customer Outcome Proposals (COP) to articulate ROI and solution value</p><br></li><li><p>Elevate conversations from product to workflow, platform, and business transformation</p><br></li></ul><p><b><span>Commercial &amp; Deal Support:</span></b></p><br><ul><li><p>Partner with AE/AR to shape deal strategy and technical win themes</p><br></li><li><p>Identify expansion, cross-sell, and upsell opportunities through technical insight</p><br></li><li><p>Support deal progression through clarity, risk mitigation, and stakeholder alignment</p><br></li><li><p>Contribute to forecast confidence through structured technical qualification</p><br></li></ul><p><b><span>Customer Engagement &amp; Executive Influence:</span></b></p><br><ul><li><p>Engage with customer stakeholders across technical and business levels</p><br></li><li><p>Act as a trusted advisor for digital transformation, platform adoption, and workflow optimisation</p><br></li><li><p>Influence customer decision-making through structured, outcome-driven conversations</p><br></li><li><p>Support executive-level discussions for strategic accounts where required</p><br></li></ul><p><b><span>Technical Leadership &amp; Enablement:</span></b></p><br><ul><li><p>Provide direction and guidance to Technical Specialists (TSS) and partners</p><br></li><li><p>Drive consistency through reuse of proven patterns, playbooks, and assets</p><br></li><li><p>Enable sellers and partners with clear technical narratives and engagement approaches</p><br></li><li><p>Mentor team members and contribute to capability uplift across the region</p><br></li></ul><p><b><span>Regional Execution &amp; Operating Model Adoption:</span></b></p><br><ul><li><p>Champion the AE/AR → ATL → TSS engagement model</p><br></li><li><p>Drive adoption of structured workflows, discovery approaches, and technical standards</p><br></li><li><p>Capture and share learnings to improve repeatability and scalability</p><br></li><li><p>Provide feedback to leadership on gaps, opportunities, and field insights</p><br></li><li><p>Contribute to the ongoing success and cohesion of the regional Technical Sales team</p><br></li></ul><p><u><b><span>Minimum Qualifications:</span></b></u></p><br><ul><li><p><b>7-10+ years of experience in technical sales, solution consulting, or similar customer-facing roles</b></p><br></li><li><p><b>Strong understanding of AEC workflows across design, coordination, and construction</b></p><br></li><li><p><b>Familiarity with Autodesk ecosystem including:</b></p><br><ul><li><p><b>Revit, Navisworks, Civil 3D</b></p><br></li><li><p><b>Autodesk Construction Cloud (Docs, Build, BIM Collaborate Pro)</b></p><br></li><li><p><b>Autodesk Platform Services (APS / Forge)</b></p><br></li></ul></li><li><p>Experience positioning integrated, end-to-end workflows and platform strategies</p><br></li><li><p>Strong ability to connect technical solutions to business outcomes</p><br></li><li><p>Demonstrated ability to coordinate and influence cross-functional teams</p><br></li><li><p>Strong communication, stakeholder management, and strategic thinking skills</p><br></li></ul><p><u><b><span>Preferred Qualifications:</span></b></u></p><br><ul><li><p>Experience operating in an orchestration or overlay technical role</p><br></li><li><p>Familiarity with value-selling methodologies and ROI-based positioning</p><br></li><li><p>Experience working in hybrid (direct + partner-led) sales environments</p><br></li><li><p>Exposure to enterprise customers and digital transformation initiatives</p><br></li><li><p>Experience mentoring or leading technical teams</p><br></li></ul><p><span><b><b>Learn More</b></b></span></p><br><p><b><span>About Autodesk</span></b></p><br><p><span>Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</span></p><br><p><span>We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</span></p><br><p><span>When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</span></p><br><p><b><span>Salary transparency</span></b></p><br>Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<br><p><b>Belonging</b><br>We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: <span><u>https://www.autodesk.com/company/global-belonging</u></span></p><br><p><b>Are you an existing contractor or consultant with Autodesk? </b></p><br><p>Please search for open jobs and apply internally (not on this external site).</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><u>About the Job</u></span></span><br></span><p><span>As a <b>Mid-</b></span><b><span>Senior Full Stack Java Developer</span></b><span> at Aspire, you will design, develop, and maintain scalable web applications using Java, Spring Boot, and modern frontend technologies. You will work across the full software development lifecycle, developing robust backend services and user-friendly frontend applications while collaborating closely with QA, DevOps, product, and business teams.</span><br></p><br><span><span><u>What You Will Do</u></span></span><br><ul><li><span>Design, develop, and maintain scalable web applications using Java and Spring Boot.</span><br></li><li><span>Develop and maintain RESTful APIs and microservices.</span><br></li><li><span>Build responsive and user-friendly frontend applications using React.js or Angular.</span><br></li><li><span>Integrate frontend applications with backend APIs and third-party services.</span><br></li><li><span>Design, develop, and optimize SQL databases.</span><br></li><li><span>Write clean, maintainable, and reusable code following best practices and design patterns.</span><br></li><li><span>Perform unit, integration, and API testing.</span><br></li><li><span>Participate in code reviews, technical discussions, and solution design.</span><br></li><li><span>Troubleshoot and resolve application and production issues.</span><br></li><li><span>Work closely with QA, DevOps, product, and business teams.</span><br></li><li><span>Participate in Agile ceremonies and contribute throughout the SDLC.</span><br></li><li><span>Support CI/CD pipelines and application deployments.</span><br></li></ul><span><span><u>What You Will Need</u></span></span><br><ul><li><span>4–7+ years of professional software development experience.</span><br></li><li><span>Strong proficiency in Java 8/11/17+.</span><br></li><li><span>Strong experience with Spring Boot, Spring MVC, and Spring Security.</span><br></li><li><span>Hands-on experience with Microservices architecture.</span><br></li><li><span>Strong knowledge of REST APIs and web services.</span><br></li><li><span>Experience with React.js or Angular.</span><br></li><li><span>Strong JavaScript/TypeScript, HTML5, and CSS3 skills.</span><br></li><li><span>Strong SQL knowledge and experience with databases such as PostgreSQL, MySQL, or Oracle.</span><br></li><li><span>Experience with Git and version control.</span><br></li><li><span>Experience with Docker and CI/CD tools.</span><br></li><li><span>Good understanding of software architecture and design patterns.</span><br></li><li><span>Experience with JUnit/Mockito or similar testing frameworks.</span><br></li><li><span>Good understanding of Agile/Scrum methodologies.</span><br></li><li><span>Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar standards.</span><br></li></ul><span><u><span>Why Aspire</span></u></span><br><ul><li><span>Be part of a (Remote is here-to-stay) organization</span><br></li><li><span>Work and learn from great minds</span><br></li><li><span>Explore new opportunities to learn and grow every day by attending technical and nontechnical training</span><br></li><li><span>Get market exposure by working with international tech leaders</span><br></li><li><span>Nursery reimbursement benefit</span><br></li><li><span>Attend virtual and onsite international tech conferences</span><br></li><li><span>Exposure to work in an IT environment that adheres to rigorous security and compliance standards defined by ISO / SOC</span><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities:</p><p>System &amp; Infrastructure Support:</p><ul><li>Troubleshoot, diagnose, and resolve all application, user and system issues.</li><li>Ensure high performance of Retail systems across Head Office and all sites.</li><li>Provide support for MS SQL Server-based systems (Head Office, Back Office, POS).</li></ul><p><br></p><p>User &amp; Client Support:</p><ul><li>Liaise with users at Head Office and fuel stations to resolve technical issues.</li><li>Provide training and guidance to users on system functionalities as required.</li><li>Work closely with vendors and external support teams for any third-party system issues.</li></ul><p>Required Skills &amp; Qualifications:</p><p>Technical Expertise:</p><ul><li>background in infrastructure support (networking, servers, storage, cloud, security).</li><li>Familiarity with POS systems, bank terminals, etc.</li><li>Experience of Implement, test, configure, troubleshooting and supporting application.</li><li>Experience in Providing technical support to end-user as per IT related issues</li><li>Experience in Writing queries and manage MS SQL and writing scripts.</li><li>Good understanding of Web Services, API and IP based protocols</li><li>Knowledge of networking protocols, firewalls, VPNs, and other network management tools.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Experience:</p><ul><li>Minimum 3+ years of experience in IT support roles.</li><li>Experience working with retail systems or similar environments with distributed sites.</li></ul><p><br></p><p>Personal Attributes:</p><ul><li>Strong leadership qualities with the ability to motivate and develop a high-performing support team.</li><li>Able to manage high-pressure situations and lead incident responses.</li><li>Self-motivated, detail-oriented, and able to work independently when required.</li></ul><p><br></p><p>Other Considerations:</p><ul><li>Ability to work in an on-call &amp; shift rotation, if necessary, to provide after-hours support</li></ul><p><br></p></div>

<p><h4>Description</h4> <p>As a community support specialist at Tamatem, you will serve as a liaison between our company and our users by providing problem-solving solutions to end users, ensuring excellent service standards, responding efficiently to customer inquiries, and maintaining high customer satisfaction.</p> <p>You will:</p> <ul> <li>Manage and solve large amounts of tickets and comments and respond to users in a timely manner.</li> <li>Resolve product or service problems by clarifying users’ complaints.</li> <li>Build sustainable relationships and trust with users through open and interactive communication.</li> <li>Determine the cause of the problem and select and explain the best solution to solve the problem; expedite correction or adjustment and follow up to ensure resolution.</li> <li>Provide prospective users with logical advice on our games that can best meet their needs by using the right methods/tools.</li> <li>Maintain up-to-date user database through internal and external communications.</li> <li>Prepare product or service reports by collecting and analyzing user information and contribute to team effort by accomplishing related results as needed.</li> <li>Document and manage all users' inquiries and refer to the product department and/or management by collecting customer information and analyzing customer needs.</li> <li>Monitor in-game chat.</li> <li>Follow communication procedures, guidelines, and policies.</li> <li>Perform other duties, as assigned.</li> </ul> <h4>Skills and experience you will bring to us:</h4> <ul> <li>Time management</li> <li>Strong communication and interpersonal skills</li> <li>Ability to adapt/respond to different types of characters</li> <li>Patient</li> <li>Teamwork</li> <li>Ability to multitask</li> <li>Ability to work under pressure</li> <li>Strong problem-solving skills</li> <li>Strong work ethic, team-oriented attitude, flexibility, and aptitude to thrive in a fast-paced environment</li> <li>Excellent written and verbal communication in English and Arabic</li> <li>Good Arabic language skills (written)</li> <li>Customer service</li> <li>Product knowledge</li> <li>CRM systems and practices</li> <li>Good understanding of social media</li> </ul> <h4>Requirements</h4> <ul> <li>Minimum of bachelor’s degree in business administration, management, public relations, or a related field.</li> <li>1-2 years of experience, preferably in mobile gaming companies.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>As a community support specialist at Tamatem, you will serve as a liaison between our company and our users by providing problem-solving solutions to end users, ensuring excellent service standards, responding efficiently to customer inquiries, and maintaining high customer satisfaction.</p> <p>You will:</p> <ul> <li>Manage and solve large amounts of tickets and comments and respond to users in a timely manner.</li> <li>Resolve product or service problems by clarifying users’ complaints.</li> <li>Build sustainable relationships and trust with users through open and interactive communication.</li> <li>Determine the cause of the problem and select and explain the best solution to solve the problem; expedite correction or adjustment and follow up to ensure resolution.</li> <li>Provide prospective users with logical advice on our games that can best meet their needs by using the right methods/tools.</li> <li>Maintain up-to-date user database through internal and external communications.</li> <li>Prepare product or service reports by collecting and analyzing user information and contribute to team effort by accomplishing related results as needed.</li> <li>Document and manage all users' inquiries and refer to the product department and/or management by collecting customer information and analyzing customer needs.</li> <li>Monitor in-game chat.</li> <li>Follow communication procedures, guidelines, and policies.</li> <li>Perform other duties, as assigned.</li> </ul> <h4>Skills and experience you will bring to us:</h4> <ul> <li>Time management</li> <li>Strong communication and interpersonal skills</li> <li>Ability to adapt/respond to different types of characters</li> <li>Patient</li> <li>Teamwork</li> <li>Ability to multitask</li> <li>Ability to work under pressure</li> <li>Strong problem-solving skills</li> <li>Strong work ethic, team-oriented attitude, flexibility, and aptitude to thrive in a fast-paced environment</li> <li>Excellent written and verbal communication in English and Arabic</li> <li>Good Arabic language skills (written)</li> <li>Customer service</li> <li>Product knowledge</li> <li>CRM systems and practices</li> <li>Good understanding of social media</li> </ul> <h4>Requirements</h4> <ul> <li>Minimum of bachelor’s degree in business administration, management, public relations, or a related field.</li> <li>1-2 years of experience, preferably in mobile gaming companies.</li> </ul></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 $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<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 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 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>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<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 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>Description</h4> <p>Syarah is on a mission to change how people buy their cars in Saudi and the Middle East. We offer buyers an end-to-end digital car buying experience where they can buy their next car from the comfort of their living rooms. Under the hood, we build systems to manage sourcing of cars, inspection, photography, merchandising, reconditioning, financing, insurance, shipping and many more. Our goal is to turn car buying into an experience of delight, comfort and peace of mind.</p> <p>We are on the lookout for ambitious, competitive, growth-minded professionals to help us continue to harness technology to delight our customers and achieve our ambitious growth objectives in the auto sector.</p> <p>All Syarah employees are expected to work in accordance with Syarah core values: tolerance, transparency, respect, integrity and positivity.</p> <h4>About the role:</h4> <p>The Product Owner – Shopping Experience will own the end-to-end shopping journey across web and app, focusing on discovery, conversion, and operational execution. This role works closely with operations, marketing, CX, engineering, design, Data/BI, and commercial stakeholders to deliver measurable improvements.</p> <h4>Responsibilities</h4> <ul> <li>Own the shopping experience roadmap and backlog (discovery & conversion).</li> <li>Translate business needs into clear user stories, requirements, and acceptance criteria.</li> <li>Run Scrum ceremonies: daily standups, sprint planning, backlog grooming, retros, and release coordination.</li> <li>Drive experimentation: define hypotheses, run A/B tests, measure impact, and scale winners.</li> <li>Monitor performance KPIs and funnels (e.g., CTR, lead submit, booking/downpayment, conversion, drop-offs).</li> <li>Partner with operations and CX to ensure smooth execution and reduce friction across processes.</li> <li>Align stakeholders and keep communication clear: scope, timelines, dependencies, and trade-offs.</li> <li>Ensure quality delivery with QA/UAT support and post-release monitoring.</li> </ul> <h4>Requirements</h4> <ul> <li>1-3 years in product (PO/PM) with strong execution focus (preferably e-commerce / marketplaces).</li> <li>Strong analytics mindset: ability to analyze funnels, cohorts, and experiment results.</li> <li>Hands-on with product tools (examples): Mixpanel/GA, Jira/Confluence.</li> <li>Proven stakeholder management across multiple functions.</li> <li>Strong understanding of Scrum/Agile and day-to-day product delivery.</li> <li>Familiarity working closely with operations teams and operational workflows.</li> <li>Good understanding of the Saudi market and user expectations.</li> <li>Fluent in English (Arabic is a plus).</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs. The role translates government business needs into structured, build-ready backlogs, models end-to-end processes, and uses AI tools to accelerate analysis and documentation while maintaining quality and data-sensitivity discipline. Key Responsibilities Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives. Produce high-quality BRDs, user stories / PBIs with clear acceptance criteria, BPMN 2.0 process models, and full traceability for Azure DevOps delivery. Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs. Map as-is / to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance). Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data. Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives. Mentor junior Business Analysts and uphold the team s BA methodology and standards.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Qualifications &amp; Experience</h2><p>Bachelor s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.</p><p>6+ years of hands-on Business Analysis experience, with a strong track record in government / public-sector digital services in the UAE / GCC.</p><p>Proven greenfield requirements experience not limited to ERP configuration or pre-sales.</p><h2>Required Skills</h2><p>Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).</p><p>Process modelling: BPMN 2.0, swimlanes, as-is / to-be (Visio, Lucidchart, Camunda, or draw.io).</p><p>Backlog management and Agile delivery with Azure DevOps (or Jira).</p><p>Excellent stakeholder management, facilitation, and bilingual communication (Arabic &amp; English).</p><p>Hands-on AI proficiency: prompt engineering and AI-assisted analysis / documentation, with disciplined validation and data-sensitivity judgment .</p><p>Familiarity with eServices, digital-government standards, and the UAE government context.</p><h2>Preferred (nice to have)</h2><p>Experience with ECM / document management, omni-channel service delivery, and UAE PASS integration.</p><p>Wireframing / prototyping (Figma) and basic data / BI awareness (Power BI)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>joining the Business Analytics team to lead requirements engineering across government services and digital transformation programs.<br> The role translates government business needs into structured, build-ready backlogs, models end-to-end processes, and uses AI tools to accelerate analysis and documentation while maintaining quality and data-sensitivity discipline.<br> Key Responsibilities • Lead end-to-end requirements elicitation, analysis, and documentation for government eServices and digital transformation initiatives.<br> • Produce high-quality BRDs, user stories / PBIs with clear acceptance criteria, BPMN 2.<br>0 process models, and full traceability for Azure DevOps delivery.<br> • Facilitate workshops with government stakeholders, resolve conflicting requirements, and obtain formal sign-offs.<br> • Map as-is / to-be processes; identify dependencies, edge cases, and non-functional requirements (security, privacy, audit, performance).<br> •Apply AI tools (LLMs, prompt engineering, AI-assisted documentation) to speed up analysis and drafting, with sound judgment on validation and sensitive government data.<br> Support UAT, bridge business and technical teams, and ensure delivered solutions meet business objectives.<br> • Mentor junior Business Analysts and uphold the team’s BA methodology and standards.<br> Required Qualifications &amp; Experience • Bachelor’s degree in Computer Science, IT, Business, or a related field; CBAP (or equivalent BA certification) strongly preferred.<br> • 6+ years of hands-on Business Analysis experience, with a strong track record in government / public-sector digital services in the UAE / GCC.<br> • Proven greenfield requirements experience — not limited to ERP configuration or pre-sales.<br> Required Skills • Strong requirements elicitation, analysis, and structured documentation (BRD, user stories, acceptance criteria).<br> • Process modelling: BPMN 2.<br>0, swimlanes, as-is / to-be (Visio, Lucidchart, Camunda, or draw.<br>io). • Backlog management and Agile delivery with Azure DevOps (or Jira).<br> • Excellent stakeholder management, facilitation, and bilingual communication (Arabic &amp; English).<br> • Hands-on AI proficiency: prompt engineering and AI-assisted analysis / documentation, with disciplined validation and data-sensitivity judgment .<br> • Familiarity with eServices, digital-government standards, and the UAE government context.<br> Preferred (nice to have) • Experience with ECM / document management, omni-channel service delivery, and UAE PASS integration.<br> • Wireframing / prototyping (Figma) and basic data / BI awareness (Power BI)</span> </div>

<p>Description About the Opportunity We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs. This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services. This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential. Role Overview We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products. You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability. While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on. At the senior level, you will: Architect and own major backend subsystems end-to-end Lead reliability and operational excellence initiatives Mentor other engineers and contribute to technical standards Collaborate with senior technical leadership to shape platform direction Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow Key Responsibilities Backend Services & Event-Driven Architecture Design, build, and operate scalable backend services and APIs Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs Build data pipelines, ETL processes, and shared platform abstractions Manage PostgreSQL, caching, and object storage infrastructure Cloud Infrastructure & Reliability Deploy and operate containerized services on Kubernetes Build CI/CD pipelines and infrastructure-as-code using Terraform Manage cloud infrastructure on Azure Define and monitor SLOs, metrics, logging, tracing, and alerting Lead incident response, root-cause analysis, and postmortems Security, Standards & Mentorship Implement secure engineering practices and compliance requirements Contribute to IAM, secrets management, network policy, and zero-trust architecture Mentor engineers through design reviews and code reviews Basic Qualifications 7+ years of backend or platform engineering experience Strong expertise in distributed systems and event-driven architecture Proficiency in Python, Java/Kotlin, or Go Hands-on experience with Azure (AWS or GCP experience also valued) Production experience with Docker and Kubernetes Strong knowledge of PostgreSQL at scale Experience with observability, SLOs, and incident response Practical use of AI coding assistants such as Codex or Claude Code Excellent written and verbal communication skills Preferred Qualifications Experience building internal developer platforms and shared tooling Service mesh experience (Istio, Linkerd) Familiarity with CQRS, event sourcing, sagas, and outbox patterns Experience with Redis, Elasticsearch, or OpenSearch Exposure to AI infrastructure such as retrieval pipelines and model serving Security experience in regulated environments Experience working in government, defense, financial services, or similar sectors Technology Stack  Languages: Python, Java, Kotlin, Go  APIs: REST, gRPC, WebSockets, SSE  Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs  Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage  Infrastructure: Azure, Docker, Kubernetes, Terraform  Observability: Prometheus, Grafana, OpenTelemetry  Security: Entra ID, RBAC, Secrets Management, Zero Trust  AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Takes full ownership from design to production operations Builds reliable, scalable systems with strong operational discipline Makes evidence-based technical decisions Mentors others and raises the engineering bar Communicates clearly and proactively Embraces AI-native engineering practices Why Apply? This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services. You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</p><p></p>

<p>Description About the Opportunity We are hiring on behalf of a leading government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious AI programs. This organisation is creating the infrastructure, platforms, and products that will enable government entities to operate as AI-native institutions. The work spans sovereign AI infrastructure, event-driven systems, and production-grade applications that support critical public services. This is an opportunity to work on highly impactful systems where reliability, scalability, and security are essential. Role Overview We are looking for a Senior Backend Engineer to design, build, and operate the backend platform that powers advanced AI and data products. You will own core services, APIs, event pipelines, and data infrastructure that support production systems at scale. This role is backend-focused and requires deep expertise in distributed systems, cloud infrastructure, Kubernetes, and database reliability. While you do not need to be an AI specialist, you should be comfortable building the platform foundations that modern AI applications depend on. At the senior level, you will: Architect and own major backend subsystems end-to-end Lead reliability and operational excellence initiatives Mentor other engineers and contribute to technical standards Collaborate with senior technical leadership to shape platform direction Use AI coding tools such as Codex, Claude Code, or similar in your daily workflow Key Responsibilities Backend Services & Event-Driven Architecture Design, build, and operate scalable backend services and APIs Develop event-driven systems using Kafka, Azure Service Bus, or Azure Event Hubs Build data pipelines, ETL processes, and shared platform abstractions Manage PostgreSQL, caching, and object storage infrastructure Cloud Infrastructure & Reliability Deploy and operate containerized services on Kubernetes Build CI/CD pipelines and infrastructure-as-code using Terraform Manage cloud infrastructure on Azure Define and monitor SLOs, metrics, logging, tracing, and alerting Lead incident response, root-cause analysis, and postmortems Security, Standards & Mentorship Implement secure engineering practices and compliance requirements Contribute to IAM, secrets management, network policy, and zero-trust architecture Mentor engineers through design reviews and code reviews Basic Qualifications 7+ years of backend or platform engineering experience Strong expertise in distributed systems and event-driven architecture Proficiency in Python, Java/Kotlin, or Go Hands-on experience with Azure (AWS or GCP experience also valued) Production experience with Docker and Kubernetes Strong knowledge of PostgreSQL at scale Experience with observability, SLOs, and incident response Practical use of AI coding assistants such as Codex or Claude Code Excellent written and verbal communication skills Preferred Qualifications Experience building internal developer platforms and shared tooling Service mesh experience (Istio, Linkerd) Familiarity with CQRS, event sourcing, sagas, and outbox patterns Experience with Redis, Elasticsearch, or OpenSearch Exposure to AI infrastructure such as retrieval pipelines and model serving Security experience in regulated environments Experience working in government, defense, financial services, or similar sectors Technology Stack  Languages: Python, Java, Kotlin, Go  APIs: REST, gRPC, WebSockets, SSE  Event Streaming: Kafka, Azure Service Bus, Azure Event Hubs  Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage  Infrastructure: Azure, Docker, Kubernetes, Terraform  Observability: Prometheus, Grafana, OpenTelemetry  Security: Entra ID, RBAC, Secrets Management, Zero Trust  AI Development: Codex, Claude Code, OpenCode What We’re Looking For You are an engineer who: Takes full ownership from design to production operations Builds reliable, scalable systems with strong operational discipline Makes evidence-based technical decisions Mentors others and raises the engineering bar Communicates clearly and proactively Embraces AI-native engineering practices Why Apply? This role offers the opportunity to work on highly consequential systems that will shape the future of AI-powered public services. You’ll join a world-class engineering environment tackling complex challenges in backend infrastructure, distributed systems, and cloud architecture—while delivering meaningful impact at a national scale.</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 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>