Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Turing powers model post-training for the world's leading AI labs, including OpenAI, Anthropic, Google DeepMind, Microsoft AI, Amazon, Apple, and more. We do this by building comprehensive evals, large-scale fine-tuning datasets, reinforcement learning environments, and benchmarks to measure and improve model capabilities across domains. The Code team at Turing specifically focuses on advancing end-to-end software engineering capabilities of frontier models and coding agents like Codex, Claude Code, Gemini CLI. This includes capabilities across the software development lifecycle: â real-world code generation (SWE-Bench-like environments across programming languages, various levels of complexity, from real open-source and private codebases) â ML / data science â UI/design to code â terminal use (TerminalBench type data) â code review â code planning / reasoning â PR writing â PRD to code â scientific coding / simulations â open ended computer use for software tasks (OSWorld type data) â and more... The Frontier Data Lead - Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly - you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing's talent pool of 4M+ developers. You'll be responsible for delivering projects at frontier quality and scale-owning data quality, throughput, and timely delivery. You'll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You'll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. In short, you'll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world's best coding agents and models even better at real-world coding tasks across the software development lifecycle.