Python Code Reviewer for AI-Generated Code
Mindhind Staffing LLC
Argentina | Bangladesh | Brazil | Chile | Egypt | Ghana | India | Mexico | Nigeria | Pakistan | Turkey | Peru
Remote · Contract
Python Code Reviewer for AI-Generated Code
Role type: Short-term contract (approximately 2–4 weeks)
Start: Immediate
Commitment: Minimum 40 hours per week, with 4 hours of overlap with PST
Rate: $25 per approved task; typical handling time is 45–60 minutes per task
About the role
We are seeking experienced software engineers, ideally at a tech lead level, to contribute to a project involving high-quality public GitHub repositories. The work includes hands-on software engineering, development environment automation, issue triage, and evaluation of test coverage and quality.
Responsibilities
- Analyze and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and development environment setup.
- Evaluate unit test coverage and quality.
- Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
- Collaborate with researchers to identify repositories and issues that are challenging for LLMs.
Requirements
- At least 2 years of overall experience.
- Strong experience with Python.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to understand and navigate complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to or evaluating open-source projects is a plus.
Nice to have
- Previous participation in LLM research or evaluation projects.
- Experience building or testing developer tools or automation agents.
Other details
- Fully remote freelance opportunity working on AI projects.
- Eligible countries: India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh, Turkey, Mexico, Argentina, Brazil, Chile, Colombia, and Peru. Please confirm eligibility before applying.
- This is a contractor assignment with no medical or paid leave.
- The selection process includes an assessment-based review of approximately 75 minutes.
- Positions available: 40