About this role
About Turing: 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 on projects that improve and evaluate large language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication impact, and lasting results on the P&L.
Role Overview.
- In this role, you will work on projects that improve and evaluate large language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication.
- 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 role also includes computational projects where you design precise, closed-ended prompts, write reliable Python code, verify numerical answers, and provide clear rationales.
- 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!
What does day-to-day look like
- Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings.
- Solve problems independently and write detailed, logically structured solutions with clear justifications.
- Review model-generated solutions, identify mathematical errors or missing arguments, and provide precise feedback, annotations, and corrections..