Role OverviewYou'll design coding tasks that challenge frontier AI coding agents. Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome. Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.
What You Will Do
Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem. Build a reproducible Docker environment with pinned dependencies. Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.
Why It Might Be a Fit
You have 3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust. Depth in one stack beats breadth. You're fluent in Python + pytest and have experience with Docker authoring, Linux & Bash, and AI coding agents.
Requirements
- 3+ years of production software development in one backend stack — Python, Go, Node.js, Java, or Rust
- Python + pytest fluency
- Docker authoring
- Linux & Bash
- AI coding agent experience
- English — B2+ written
Benefits
- Paid contributions, rates up to $35/hour*
- Task-based compensation equivalent to hourly rate, depending on performance and volume
- Some projects include incentive payments
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