Our mission is to accelerate superintelligence to drive real economic progress.
San Francisco, 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, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Turing’s talent cloud, an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Turing is based in San Francisco, California and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT.
Remote · Toronto, Ontario, Canada
Design and solve challenging physics problems to evaluate large language models, and produce clear, detailed solutions with structured reasoning. Collaborate with researchers to align evaluations with model weaknesses and help develop benchmarks covering undergraduate through PhD-level physics.
Remote · Toronto, Ontario, Canada
Design advanced chemistry problems and rigorous step-by-step solutions to assess large language model performance. Evaluate AI responses for accuracy and reasoning, and collaborate with researchers to refine benchmarks across undergraduate- to PhD-level chemistry topics.
Remote · Toronto, Ontario, Canada
Design and refine rubrics and evaluation criteria, review and label preference data, and build infrastructure and pipelines for data workflows. Summarize findings and collaborate with researchers and engineers to turn qualitative judgments into scalable processes.
Remote · Montreal, Quebec, Canada
Design and refine rubrics and evaluation criteria, review and label preference data, and build infrastructure and pipelines for data workflows. Summarize findings and collaborate with researchers and engineers to turn qualitative judgments into scalable processes.
Remote · Montreal, Quebec, Canada
Design and refine rubrics and evaluation criteria, review and label preference data, and build infrastructure and pipelines for data workflows. Summarize findings into actionable recommendations and collaborate with researchers and engineers to scale qualitative judgments into repeatable processes.
Remote · Toronto, Ontario, Canada
Design and refine rubrics and evaluation criteria, review and label preference data, and build infrastructure and pipelines for data workflows. Communicate findings and recommendations clearly, and collaborate with researchers and engineers to scale qualitative judgment into repeatable processes.
