Snorkel AI builds specialized training data, benchmarks, and evaluation environments that help frontier models and agents perform in high-stakes domains. Backed by Greylock, Lightspeed and GV.
About the role
Coding Fellows create high-quality technical content used to train and evaluate AI systems. Depending on the project and each Fellow’s strengths, their work may include writing and reviewing code, opening pull requests, creating annotations or documentation, improving others’ work, and coaching peers.
What they're looking for
- 3+ years of experience in software engineering, technical leadership, or a related environment, including direct management of programmers or software engineers
- A computer-science degree is not required. Experience with AI/ML development, model evaluation, annotation, data quality, or technical-content production is helpful
- Demonstrated experience hiring, onboarding, coaching, conducting performance reviews, delivering actionable feedback, and handling difficult conversations
- Experience managing people across multiple projects, clients, teams, or changing assignments
- Experience in a consultancy, software agency, contract engineering shop, professional-services organization, staff-augmentation model, or similar distributed environment is strongly preferred
- Enough technical depth to read and discuss code and pull requests, assess engineering judgment, and understand core software-development practices
More about this role
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, 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!
Coding Fellows create high-quality technical content used to train and evaluate AI systems. Depending on the project and each Fellow’s strengths, their work may include writing and reviewing code, opening pull requests, creating annotations or documentation, improving others’ work, and coaching peers.
We are looking for a leader to directly manage a portfolio of Fellows who may contribute...
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