Code Reviewer - Python

Work location: Remote

About Turing

Turing is one of the world’s leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.

About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

What does day-to-day look like:

• Analyze and triage GitHub issues across trending open-source libraries.

• Set up and configure code repositories, including Dockerization and environment setup.

• Evaluating unit test coverage and quality.

• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.

• Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.Required Skills:

• Minimum 2+ years of overall experience

• Strong experience with at least one of the following languages: 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.Perks of Freelancing With Turing:

• Work in a fully remote environment.

• Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details:

• Commitments Required: Minimum 40 hours per week with overlap of 4 hours with PST.

• Employment type : Contractor assignment (no medical/paid leave)

• Duration of contract : 4 weeks; [expected start date is next week]

• Payment: $25 per approved task

• Location : LATAMEvaluation Process (approximately 75 mins) :

• Assessment based review