Research Lead (Coding)

As a Research Lead you will lead the end-to-end execution of LLM training projects involving Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and Reinforcement Learning from Execution Feedback (RLEF). You will lead a cross-functional team of AI Trainers, Leads, and Engineering Managers to ensure the delivery of high-quality data and model improvements. You will serve as the senior-most researcher accountable for strategic client alignment, throughput, quality, and operational efficiency across multiple programming languages (Python, JavaScript, Java, etc.). A key aspect of this role includes leading our most important code workstream, while also providing support, and calibration guidance to other code teams.

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.