You will review public Python repositories and software issues to support AI evaluation. The work focuses on assessing code quality and how well language models handle realistic bug-fixing tasks.
You will work with real codebases locally and help identify repositories and issues that create useful engineering challenges for AI models.
- Analyze and triage GitHub issues across open-source Python libraries.
- Set up repositories and Docker-based development environments.
- Review unit-test coverage and software quality.
- Run and modify code locally to evaluate bug-fixing performance.
- Work with researchers to identify meaningful coding tasks for language models.