Senior Python Engineer

What this opportunity involves:

We're building a dataset to evaluate AI coding agents – how well a model handles real‑world developer tasks.

You will 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:

• Data labeling
• Prompt engineering
• Writing code from scratch – the agent writes most of the code; you guide and evaluate

What we look 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+

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.

Effort estimate

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.