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 senior software engineers with 7+ years of industry experience to support the training and evaluation of large language models. In this role, you will review, analyze, and improve AI-generated code, ensuring that it is correct, secure, maintainable, scalable, and aligned with production engineering standards.
This is a code quality and engineering evaluation role—not a traditional software testing or manual QA position. You will apply your software engineering judgment to assess implementation quality, identify root causes, and recommend or implement robust solutions.
What Does Day-to-Day Look Like?
- Review and evaluate AI-generated code across different programming languages and software engineering scenarios.
- Assess code for correctness, reliability, security, scalability, readability, and maintainability.
- Identify bugs, logical errors, incomplete implementations, edge-case failures, and architectural weaknesses.
- Analyze unfamiliar codebases and understand the impact of proposed changes.
- Review bug fixes, feature implementations, refactoring, API integrations, configuration changes, and database operations.
- Compare alternative implementations and determine which solution best satisfies the requirements.
- Rewrite or improve code to create high-quality reference solutions.
- Provide clear technical explanations for identified issues and recommended improvements.
- Develop evaluation criteria, technical annotations, and rubrics for code-quality assessment.
- Collaborate with researchers and engineering teams to design coding benchmarks and improve LLM evaluation methodologies.