PHWhat You'll Do
- Use frontier AI coding agents to complete and evaluate complex engineering tasks.
- Review model-generated code for correctness, quality, maintainability, and performance.
- Identify bugs, edge cases, and failure modes in model outputs.
- Compare outputs from multiple frontier models and assess their strengths and weaknesses.
- Apply professional engineering judgment to realistic backend engineering scenarios.
Time Commitment
- Sprint based project that runs in 12-24 hour stretches based on client requirement.
Compensation
- $400 per accepted task.
- Typical tasks take approximately 2–3 hours after ramp-up.
- Compensation is tied to accepted work.
Who Should Apply
- 2+ years of professional backend engineering experience.
- Experience building APIs, distributed systems, microservices, backend platforms, or databases.
- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
- Ability to evaluate model-generated code and identify bugs, edge cases, and architectural tradeoffs.
- Experience working on large-scale production systems is preferred.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
sample application steps: