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About the Role

Physical Intelligence is seeking a Data Annotation Lead to oversee and scale annotation operations. This role is critical to the company's mission of bringing general-purpose AI to the physical world, requiring the development of systems, metrics, and organizational structures to manage a workforce growing from hundreds to thousands.

Responsibilities

• Own end-to-end annotation operations including throughput, quality, cost, and delivery.
• Scale the annotation workforce from hundreds to thousands through strategic planning and hiring.
• Build and lead a multi-layer management structure.
• Design human-in-the-loop workflows to scale throughput using autolabeling and model-based annotation.
• Develop training and certification pipelines for new annotators.
• Define and maintain quality standards through rubrics, audits, and QA loops.
• Establish and report on operational metrics to drive continuous improvement.
• Manage capacity planning and prioritize high-impact work.
• Oversee performance management with clear standards and feedback processes.
• Collaborate with product and engineering to define annotation tooling.
• Partner with research and project leads to translate requirements into instructions and SLAs.
• Manage the in-house and vendor workforce mix.
• Oversee the operating budget and optimize unit economics.

Requirements

• 7+ years of experience leading scaled data or annotation operations with teams of 100+.
• 3+ years of experience as a manager of managers.
• Proven track record of building annotation programs from the ground up.
• Deep expertise in annotation best practices and strategy.
• Experience integrating autolabeling and human-in-the-loop workflows.
• Fluency in operational and quality metrics for large workforces.
• Strong cross-functional collaboration skills with product, engineering, and research teams.
• Excellent written and verbal communication skills.
• Working understanding of machine learning and the impact of annotation quality on model performance.

Skills

• Operations management
• Workforce planning
• Organizational design
• Human-in-the-loop workflow design
• Data-driven management
• Budget management
• Performance management
• Cross-functional leadership

Experience Level

• 7+ years of experience
• 3+ years of management experience

About the Company

• Physical Intelligence develops foundation models and learning algorithms for robots and physically-actuated devices.
• The company is composed of engineers, scientists, roboticists, and company builders.

Equal Opportunity

• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.