Remote Senior Python Engineer – LLM Evaluation (US-based)

Turing is a leading research accelerator for frontier AI labs, seeking a Senior Python Engineer for LLM Evaluation. The role involves creating datasets for training large language models, evaluating AI-generated code, and collaborating with cross-functional teams to enhance AI-driven coding solutions.

Responsibilities:

• Create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers
• Curate code examples, provide precise solutions, and make corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions
• Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go
• Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them
• Design verification mechanisms that can automatically verify a solution to a software engineering task

Requirements:

• Several years of software engineering experience (3 years or more)
• Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software
• Experience building full-stack applications and deploying scalable software using modern languages and tools
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
• Excellent oral and written communication skills for clear, structured evaluation rationales
• Experience working at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems
• Graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions