Physical Intelligence
AI & Machine LearningDirect Ashby career site

Annotations Portfolio Lead

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Lead / Staff
Experience
5+ years
Listed
30 days ago

Skills & highlights for this role

  • program management
  • vendor management
  • requirements definition
  • data annotation operations

Also useful

  • ML/AI data annotation
  • robotics data
  • egocentric video

The Team

High-quality data is the fuel for our work. The Annotations team produces high-quality data labels to support model development.

This role is a hands-on owner for a portfolio of annotation programs: partnering with researchers to understand what data they need and why, translating that into concrete requirements and rubrics, and running the operation that delivers the data. This person will also be expected to drive continuous improvement across multiple surfaces to mature the annotations function and balance strategic problem solving with tactical execution.

In This Role You Will

  • Own end-to-end performance for a portfolio of annotation programs, driving quality, speed, and efficiency
  • Partner with researchers to define and refine requirements
  • Drive step-function continuous improvement in our operations, identifying issues and building scalable solutions
  • Foster clarity, collaboration, and alignment across both technical and nontechnical stakeholders, including vendor partners, researchers, operations

What We Hope You'll Bring

  • 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 in a constantly-evolving system 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 in digestible ways, and work with remote, ESL audiences
  • Organizational skills to bring structure to chaos and balance needs across multiple programs

Bonus Points

  • Experience with data annotations for ML/AI, having seen versions of this problem before
  • Experience with robotics, egocentric video, or other multimodal sensor data
  • Experience with using coding agents to fill gaps in tooling / infra

Who We Are

Physical Intelligence is bringing general-purpose AI into the physical world. 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.

Read the original posting

From Physical Intelligence's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Annotations Portfolio Lead job at Physical Intelligence located?

This Annotations Portfolio Lead position at Physical Intelligence is located in San Francisco, CA (On-site). Always check Physical Intelligence's application page for specific state eligibility or relocation policies.

What qualifications are required for Annotations Portfolio Lead at Physical Intelligence?

For the Annotations Portfolio Lead role, Physical Intelligence highlights 5+ years of relevant experience; experience with program management, vendor management, requirements definition, data annotation operations. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Annotations Portfolio Lead position at Physical Intelligence?

This listing links directly to Physical Intelligence's Ashby application page. You can apply directly on Physical Intelligence's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.