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Annotations Portfolio Lead

Physical Intelligence · San Francisco

CHECKED 14H AGO

Roboticsonsitelead
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At a glance

Highlights

  • Own a portfolio of annotation programs fueling foundation models for robots.
  • Partner with researchers to turn data needs into concrete rubrics.
  • Drive step-function improvements to mature the annotations function.

Ideal candidate

A systems-thinking operator with 5+ years leading complex programs who thrives in chaos, communicates clearly across technical and global audiences, and cares deeply about data quality powering robotics research.

Requirements

  • 5+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles
  • Strong problem solving and systems thinking; ability to identify points of leverage and diagnose problems with incomplete information
  • Intuition for data quality and research needs, grounded in understanding of model training and evaluation
  • Stellar communication and ability to clarify nuance, structure complex information and work with remote, ESL audiences
  • Organizational skills to bring structure to chaos and balance needs across multiple programs
  • Experience with data annotations for ML/AI
  • Experience with robotics, egocentric video, or other multimodal sensor data
  • Experience with using coding agents to fill gaps in tooling / infra

Lab profile

About Physical Intelligence

Developing general-purpose AI foundation models to power robots for any physical task.

What they build

  • General-purpose robot foundation models
  • Learning algorithms for robot control
  • Robotic systems and platforms

Known for

  • Foundation model and system-building research
  • Large-scale multimodal robot data operations
  • Real-world fleet deployment and operations
  • Prototype-to-production hardware engineering
More about Physical Intelligence →
Apply on the lab’s site ↗