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Turing, based in San Francisco with remote-friendly culture, seeks a mathematical thinker to design and solve advanced problems that probe the limits of large language models. You will craft clear, step-by-step explanations and work with LLM researchers to shape evaluation benchmarks across early undergraduate to PhD-level topics.
The ideal candidate holds a Master’s/Ph.D. in a quantitative field and demonstrates excellent analytical and communication skills for remote collaboration with global
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 coding, 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.
In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and english comprehension skills The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down complex mathematical concepts into simple, clear explanations and work efficiently. The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!