C/C++ Software Engineer – AI Model Eval & Datasets

Turing; Greater London; On-site; GBP 41,000 - 102,000; Part time

Job summary

Turing is seeking a Software Engineering evaluator to develop cutting-edge datasets for training large language models, focusing on C/C++ and other major languages. Collaboration with researchers and cross-functional teams will help advance enterprise AI-driven coding solutions.

The role emphasizes building verification mechanisms, evaluating AI-generated code for efficiency and scalability, and delivering precise evaluation rationales.

Qualifications

• Several years of software engineering experience (3 years or more).
• Strong expertise in building full-stack applications and deploying scalable, production-grade 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

• Create cutting-edge datasets for training and benchmarking AI models.
• Curate code examples and provide precise solutions, primarily in C/C++ and other listed languages.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions.
• Build agents to verify code quality and identify error patterns.
• Design verification mechanisms to automatically verify software engineering tasks.

Skills

Software engineering

Full-stack development

Code review

Communication

Tools

C/C++

Python

JavaScript/ReactJS

Java

Rust

Go

Job description

Turing is seeking a Software Engineering evaluator to develop cutting-edge datasets for training large language models, focusing on C/C++ and other major languages. Collaboration with researchers and cross-functional teams will help advance enterprise AI-driven coding solutions.

The role emphasizes building verification mechanisms, evaluating AI-generated code for efficiency and scalability, and delivering precise evaluation rationales.