Data Annotation Lead (AI)

Location: San Francisco, United States; on-site

Company

hirify.global develops general-purpose AI foundation models and learning algorithms for robots and physically actuated devices.

What you will do

• Own annotation operations end-to-end, including throughput, quality, cost, delivery, capacity planning, and prioritization.
• Scale the annotation workforce from hundreds to thousands through workforce planning, organizational design, hiring, and onboarding.
• Build a multi-layer management structure and manage managers, team leads, performance standards, and development.
• Design human-in-the-loop workflows using autolabeling and model-based annotation to increase throughput while protecting quality.
• Establish training, certification, quality, calibration, audit, and operational reporting systems.
• Partner with product, engineering, research, and project leads on annotation tooling, instructions, rubrics, SLAs, vendors, and unit economics.

Requirements

• 7+ years leading scaled data or annotation operations, including teams of 100 or more.
• 3+ years managing managers.
• Experience establishing annotation programs from 0 to 1.
• Deep knowledge of annotation operations, quality practices, metrics, and strategy.
• Experience integrating autolabeling and model-based annotation into human workflows.
• Strong collaboration with product, engineering, and research/ML teams, plus a working understanding of how annotation quality affects model performance.

Nice to have

• Experience in robotics, autonomous vehicles, or frontier-AI data pipelines.
• Experience managing distributed, global, or vendor workforces.
• Experience building annotation tooling or partnering with tooling teams.
• Experience training or fine-tuning autolabeling models or working closely with ML teams.

Culture & Benefits

• Work alongside engineers, scientists, roboticists, and company builders developing physical-world AI.
• Own a large-scale operation with responsibility for quality, delivery, workforce growth, and budget.
• Build systems that connect annotation operations with foundation-model and robotics development.