Senior Backend Engineer for AI Code Evaluation

HumanitApp; United States; Remote; USD 69,000 - 124,000; Part time

Job summary

Turing, based in San Francisco, is seeking a Software Engineering evaluator to create and refine datasets for training and benchmarking large language models. You will collaborate with researchers to curate code examples, provide precise solutions, and correct across full-stack contexts.

Typical day includes evaluating AI-generated code, working with cross-functional teams, and building verification tools to ensure code quality and reliability.

Qualifications

• Several years of software engineering experience (3 years or more).
• Experience 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

• Evaluate and refine AI-generated code across backend and frontend contexts to ensure efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that can verify code quality and identify error patterns across full-stack applications.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, experiments, monitoring) and evaluate model capabilities.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

Skills

Software engineering

Production-grade software

Software architecture

Communication skills

Job description

Turing, based in San Francisco, is seeking a Software Engineering evaluator to create and refine datasets for training and benchmarking large language models. You will collaborate with researchers to curate code examples, provide precise solutions, and correct across full-stack contexts.

Typical day includes evaluating AI-generated code, working with cross-functional teams, and building verification tools to ensure code quality and reliability.