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Turing, based in San Francisco, is seeking a Software Engineering Evaluator to create datasets for training AI models, curating code examples primarily in Java and other languages. You will evaluate AI-generated code, improve efficiency and reliability, and collaborate with researchers and cross-functional teams.
The role is a flexible contractor engagement (10–40 hrs/week) for 1 month with potential extension, requiring strong coding skills, architecture understanding, and clear evaluation
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.
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 primarily in Java, as well as in Python, JavaScript (including ReactJS), C/C++, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.