Remote AI Code Evaluator for Large Language Models

turing; Canada; Remote; CAD 98,000 - 137,000; Full time

Job summary

Turing in San Francisco seeks a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models. You will curate code examples, provide precise solutions, and correct in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go while collaborating with researchers.

You will evaluate AI-generated code for efficiency and reliability, build verification mechanisms, and work with cross-functional teams to improve enterprise AI-driven

Qualifications

• 3+ years of software engineering experience.
• 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

• Curate code examples and provide precise solutions in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build verification mechanisms to automatically verify software engineering tasks.

Skills

3+ years experience

Full-stack development

Software architecture

Code quality/review

Excellent communication

Tools

ReactJS

Python

Job description

Turing in San Francisco seeks a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models. You will curate code examples, provide precise solutions, and correct in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go while collaborating with researchers.

You will evaluate AI-generated code for efficiency and reliability, build verification mechanisms, and work with cross-functional teams to improve enterprise AI-driven