We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

As a researcher working on DaaS (Data-as-a-Service), you will focus on developing novel approaches for data generation, curation and evaluation. You will be responsible for designing innovative techniques that combine automated methods with human expertise to achieve best-in-class efficiency and quality. You will collaborate closely with engineering and operations teams, as well as our customers’ research teams,  to define the future of data generation workflows that will power frontier AI models.

Main Responsibilities

• Conduct research on data curation and generation to support emerging use cases across domains