AI Evaluation Engineer (Python, QA or Security)

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

- Not data labeling - Not prompt engineering - Not writing code from scratch - the agent writes most of the code; you guide and evaluate

- 5+ years in software development - Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis - Experience writing tests (functional, integration) - English proficiency - B2+

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.

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Up to $50/hr equivalent , depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.