Python AI Code Evaluator for Frontier Models

Turing; City Of London; On-site; GBP 61,000 - 102,000; Part time

Job summary

Turing is seeking a Software Engineering Evaluator to help build and refine datasets for training and benchmarking large language models. The role focuses on Python across backend services, data pipelines, and ML infrastructure, with exposure to JavaScript, C/C++, Java, Rust, and Go.

You will curate code samples, provide precise solutions, correct errors, and evaluate AI-generated code for efficiency, scalability, and reliability while collaborating with researchers and cross-functional teams.

Qualifications

• 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.

Responsibilities

• Curate code examples and build solutions, primarily in Python, with additional work in other languages.
• Evaluate and refine AI-generated code to ensure it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build Python agents and automated verification tools that verify code quality and identify error patterns.
• Hypothesize on steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

Skills

Python development

Software architecture

Full-stack experience

Code quality & review

Communication skills

Job description

Turing is seeking a Software Engineering Evaluator to help build and refine datasets for training and benchmarking large language models. The role focuses on Python across backend services, data pipelines, and ML infrastructure, with exposure to JavaScript, C/C++, Java, Rust, and Go.

You will curate code samples, provide precise solutions, correct errors, and evaluate AI-generated code for efficiency, scalability, and reliability while collaborating with researchers and cross-functional teams.