Data Quality and Labeling Specialist

Collate

Job details

  • ONSITE
  • UNKNOWN
  • San Francisco
  • United States
  • Verified 2026-11-06
  • Source: Collate public LEVER source

Original job description

About Collate   Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market.   Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.   We’re an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.     About the Role

We're looking for a Data Quality and Labeling Specialist to bring life-sciences expertise to the data behind our AI. Our models draft, extract from, and review regulated documents across drug, diagnostic, and medical device development, and this role makes sure the data they learn from and are measured against is accurate, consistent, and grounded in how regulated work is actually done.

This is a hands-on role at the intersection of domain expertise and data quality. You'll work side by side with our AI researchers and engineers, and your judgment about what a correct document looks like will shape the product directly.

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