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
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📌 Freelance Agent Evaluation Engineer (Roma)
🏢 Mindrift
📍 Roma
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