Physical Intelligence

Data Annotation Lead

San Francisco

Sponsorship not specifiedDetected 23 days ago

AlgorithmsMachine LearningRoboticsResearchCommunication

About the role

Annotation is core to how our models improve, and demand is growing fast.
You will scale the annotation workforce from 100s to 1,000s while raising the quality bar - designing the org, the training pipeline, the quality system, and the metrics that let it scale efficiently.
Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.

Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.
Establish operational metrics and reporting (presence, throughput, acceptance/rejection, rework) and drive week-over-week improvement.
Manage performance at scale with clear standards, feedback, and a fair improvement/exit process.
Partner with product and engineering to define annotation tooling that unlocks throughput and quality.

Experience in robotics, autonomous vehicles, or frontier-AI data pipelines.
Experience managing distributed/global and/or vendor workforces.
Built annotation tooling or partnered tightly with a tooling team.
Experience training or fine-tuning autolabeling models, or partnering closely with the ML teams that do.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

We're looking for a Data Annotation Lead to own annotation operations and scale the team behind it.

This listing is sourced directly from Physical Intelligence's careers page and normalized into a canonical job model.