AI Evaluation Engineer

🏢 Global Corporation
📍 United Arab EmiratesFull-timeOn-site
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
Mindrift is seeking an AI Evaluation Engineer for project-based AI opportunities with leading tech companies. The role involves creating challenging tasks and evaluation criteria within realistic simulated development environments to test and improve AI coding agents. This includes building developer environments, designing solvable tasks, writing tests, and iterating based on feedback. The ideal candidate has 5+ years of software development experience, proficiency in Python, JavaScript/TypeScript, Docker, Postgres, Kafka, and Redis, and experience with functional and integration testing. English proficiency of B2+ is required. Compensation is up to $50/hr equivalent, with tasks estimated at 20 hours each and flexible scheduling.
Required Skills
Information Technology
PythonFastAPIJavaScriptTypeScriptReactDockerPostgreSQLKafkaRedisFunctional TestingIntegration TestingAI EvaluationAI Agents
🎁 Benefits & Perks
Project-based opportunities with leading tech companies, up to $50/hr equivalent compensation, flexible schedule.
Requirements
Requires 5+ years of software development experience with a core stack including Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, and Redis. Must have experience writing functional and integration tests. English proficiency level B2+ is required.
Description
Job description / Role Job Type Full Time Job Location UAE Nationality Any Nationality Salary Not Specified Gender Not Specified Arabic Fluency Not Specified Job Function IT - Software & Web Development Company Industry Software & Internet Services Please submit your CV in English and indicate your level of English proficiency. 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. What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. 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. 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. 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. Tasks are estimated at approximately 20 hours each; you set your own schedule. Apply Now
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00