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Turing, based in San Francisco, seeks a Software Engineering Evaluator contractor to create and evaluate code examples for AI model training and benchmarking. You will curate samples, provide precise solutions, and work closely with researchers to improve large language model evaluations.
The role requires several years of software engineering experience, production-grade deployment knowledge, and strong communication skills. 10–40 hrs/week, 1‑month contract in the United States.
Future projects, not immediate vacancies. Check each network's country and experience requirements.
Create and evaluate code examples for AI model training and benchmarking.
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 built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, 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.
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.