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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.
Future projects, not immediate vacancies. Check each network's country and experience requirements.
Evaluate and improve AI-generated code for backend and frontend applications.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome 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
though exceptional experience and skill always take precedence over pedigree.
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack
Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
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.
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.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
Type: Contractor (no medical/paid leave)
Duration: 1 month (potential extensions based on performance and fit)
Location: Candidates must be based in the United States
The application process takes 15–30 minutes.
Completion of an AI video interview is required.
Source: Turing official job description, checked 2026-11-09. Turing decides selection and final terms. Referral rewards are separate from applicant compensation.
Compensation is not stated in the current feed. Confirm the rate and workload before accepting an assessment or project.