About Turing
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps leading AI labs improve the reasoning, problem-solving, and decision-making capabilities of large language models (LLMs) through high-quality human feedback, evaluation, and training data.
Role Overview
We are looking for experienced Software Engineers to help evaluate, benchmark, and improve the coding capabilities of frontier AI models. In this role, you will assess AI-generated code, validate solutions against real-world software engineering tasks, identify correctness and quality issues, and contribute to the development of high-quality evaluation datasets and benchmarks.
This position is ideal for engineers who enjoy code review, debugging, problem-solving, and applying strong software engineering judgment to complex technical scenarios. Your work will directly contribute to measuring and improving the performance of advanced AI coding systems.
What Does Day-to-Day Look Like?
- Review and evaluate AI-generated code for correctness, efficiency, maintainability, and adherence to requirements.
- Analyze software engineering tasks and validate whether proposed solutions meet expected outcomes.
- Debug code, reproduce issues, and verify fixes across different programming environments.
- Assess model-generated explanations, reasoning, and implementation approaches for technical accuracy.
- Create, refine, and maintain evaluation datasets, benchmarks, and grading rubrics for coding tasks.
- Identify edge cases, failure modes, and areas where AI systems struggle with software engineering problems.
- Document findings clearly and provide structured feedback to improve evaluation quality and consistency.