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.

You'll create challenging tasks and evaluation criteria within realistic simulated environments:

What you'll do

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

8+ 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:
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $150/hr. Because payment is per task, a faster pace raises your effective hourly rate.

USD 262,500 per year

How you'll work

Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

remote

About the company & team

Creator (Writer)

Hiring process

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate

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

Why this is hard

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.

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

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