Physical Intelligence

4 weeks ago

Data Annotation Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Lead and scale annotation operations from hundreds to thousands of annotators, designing the org, training pipelines, quality systems, and metrics to drive efficient growth. Own the people, budget, and external partners; build multi-layer management; implement human-in-the-loop workflows with autolabeling; partner with product, engineering, and ML teams to unlock throughput and improve model performance.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.
•Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.
•Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.
•Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.
•Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.

Key Requirements

•7+ years leading scaled data or annotation operations, including teams in the 100s+
•3+ years as a manager of managers
•Track record standing up 0→1 annotation programs
•Deep command of annotation best practices, operations, and strategy
•Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality

Experience:7+ yearsAIMachine learningData annotation

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:Annotation toolingMachine learningHuman-in-the-loop

Company Brief

Physical Intelligence

Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.

Industry: Robotics

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2024

Glassdoor: 4.1

Website LinkedIn

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Physical Intelligence

4 weeks ago

Data Annotation Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 minutes agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.
•Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.
•Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.
•Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.
•Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.

Key Requirements

•7+ years leading scaled data or annotation operations, including teams in the 100s+
•3+ years as a manager of managers
•Track record standing up 0→1 annotation programs
•Deep command of annotation best practices, operations, and strategy
•Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality

Experience:7+ yearsAIMachine learningData annotation

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:Annotation toolingMachine learningHuman-in-the-loop

Company Brief

Physical Intelligence

Industry: Robotics

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2024

Glassdoor: 4.1

Website LinkedIn