AI Evaluation Engineer (Python, QA or Security)
AI Evaluation Engineer (Python, QA or Security)
AI Evaluation Engineer (Python, QA or Security)
About the role
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.
What you'll do
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 we're looking for
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+
What you'll get
Compensation
Up to $40/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.
USD 70,000 per year
How you'll work
remote
About the company & team
Creator (Writer)
Hiring process
How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
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
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.
Additional information
Please submit your CV in English and indicate your level of English proficiency.
Application managed by Mindrift