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Annotations Portfolio Lead

San FranciscoFull-time2026-10-04 → 2026-10-07

Core

End-to-end owner of a portfolio of annotation programs, partnering with researchers to define data requirements and delivering high-quality labels to support model development.

Builds

High-quality data labels for foundation models and learning algorithms

Domain

AI/ML data operations and robotics

Deliverable

production ML models

Required skills

Program management, operations, technical project management, systems thinking, data quality intuition, stakeholder alignment, organizational skills

Preferred skills

Data annotations for ML/AI, robotics, egocentric video, multimodal sensor data, coding agents

Responsibilities

Own end-to-end performance for annotation programs, partner with researchers to define requirements, drive continuous improvement in operations, foster collaboration across stakeholders