Annotations Portfolio Lead

Physical Intelligence is hiring an Annotations Portfolio Lead in San Francisco, United States. Level rates it ; you can apply on Physical Intelligence.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include data annotation, program management and operations.
Level classifies it as a lead role.
Level lists 43 other open roles at Physical Intelligence.

AI in this role

Manage end-to-end performance and operations for a portfolio of multimodal data annotation programs supporting robot learning models.

data-annotationprogram-managementoperationsroboticsmachine-learning

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.

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

How we rate this

Annotations Portfolio Lead at Physical Intelligence rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Annotations Portfolio Lead is an open job at Physical Intelligence.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in San Francisco.
The job was posted on October 4, 2026.
Seniority: lead.
Applications are handled by Physical Intelligence. Apply on Physical Intelligence

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnnotationProgram ManagementOperationsRoboticsMachine learning

Questions you could be asked

Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where operations was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Annotation, Program Management, Operations, Robotics, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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