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 historyDesign tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agentWrite tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenientIterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robustWhat this is NOTNot data labelingNot prompt engineeringNot writing code from scratch - the agent writes most of the code; you guide and evaluateWhat we look for5+ years in software developmentCore stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, RedisExperience 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 worksApply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimateTasks for this proj.