You will evaluate and rate AI-generated Python code for quality, performance, and its ability to fix real software issues. The work uses open-source repositories and includes hands-on testing in local development environments.
You will also help identify difficult coding tasks that can show where AI models need improvement.
- Analyze and triage issues in popular open-source Python libraries.
- Set up and configure code repositories, including Docker-based environments.
- Review unit test coverage and assess its quality.
- Run and modify codebases locally to evaluate AI-generated bug fixes.
- Work with researchers to identify repositories and issues that challenge AI coding systems.