Annotations Portfolio Lead

Physical Intelligence
San Francisco, CA
On-site

Who this role is best for

Best suited to candidates with experience in managing annotation programs and working in AI/robotics domains, who can balance technical and nontechnical collaboration in a San Francisco-based setting.

Best fit for

  • Candidates with a background in managing data annotation programs for AI and robotics research teams
    — “The Annotations team produces high-quality data labels to support model development.”
  • Individuals who have driven operational improvements in fast-evolving technical environments
    — “Drive step-function continuous improvement in our operations, identifying issues and building scalable solutions.”
  • Candidates with strong communication skills and the ability to bridge technical and non-technical stakeholders
    — “Foster clarity, collaboration, and alignment across both technical and nontechnical stakeholders.”

Things to consider

  • This role demands managing multiple annotation programs simultaneously with high attention to quality and efficiency
    — “Own end-to-end performance for a portfolio of annotation programs, driving quality, speed, and efficiency.”
  • Candidates should be prepared to work with remote and ESL teams, which may require additional coordination effort
    — “Stellar communication and ability to clarify nuance, structure complex information in digestible ways, and work with remote, ESL audiences.”

How to stand out

  • Highlight experience in defining requirements and rubrics for data labeling projects
    — “Partnering with researchers to understand what data they need and why, translating that into concrete requirements and rubrics.”
  • Emphasize your ability to identify leverage points in complex systems and implement solutions
    — “Strong problem solving and systems thinking; ability to identify points of leverage in a constantly-evolving system.”
  • Showcase your background in AI model training and evaluation to demonstrate understanding of data needs
    — “Intuition for data quality and research needs, grounded in understanding of model training and evaluation.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • end-to-end performance for annotation programs
  • continuous improvement in operations
  • clarity and alignment across stakeholders
Typical background
program managementoperations

Skills & requirements

Required

Program ManagementOperationsTechnical Project ManagementProblem SolvingData QualityCommunicationOrganizational Skills

Preferred

Data Annotations For Ml/aiRoboticsEgocentric VideoMultimodal Sensor DataCoding Agents

Stack & domain

Program ManagementOperationsTechnical Project ManagementConsultingStartup OperationsData QualityModel TrainingEvaluationData AnnotationsMl/aiRoboticsEgocentric VideoMultimodal Sensor DataCoding AgentsProblem SolvingSystems ThinkingCommunicationCollaborationAlignmentOrganizational SkillsAIData ScienceEngineering

About the role

Original posting from Physical Intelligence via Ashby

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

Source: Physical Intelligence careers (Ashby)

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