Data Annotation Lead
Physical IntelligenceRobotics company
San Francisco, United StatesLead
CapitalG
Lux Capital
Thrive Capital
Index Ventures
T. Rowe Price
Jeff Bezos
Data & AI
About the role
TL;DR
Scale annotation operations and team for AI model improvement.
- •We're looking for a Data Annotation Lead to own annotation operations and scale the team behind it.
- •Annotation is core to how our models improve, and demand is growing fast.
- •Key Responsibilities Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.
- •Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.
- •Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.
- •Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.
- •Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.
- •Requirements 7+ years leading scaled data or annotation operations, including teams in the 100s+. 3+ years as a manager of managers.
- •Track record standing up 0→1 annotation programs.
- •Deep command of annotation best practices, operations, and strategy.
- •Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality.
Required skills
Engineering ManagementProject Management
Domain expertise
ai