Data Annotation Lead

What You'll Bring

• 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
• Fluency with operational and quality metrics; data-driven management of large workforces
• Strong cross-functional partnership with product, engineering, and research/ML
• Clear written and verbal communication; able to set and hold standards across a large, distributed team
• Working understanding of ML and why annotation quality drives model performance

Nice to Have

• Experience in robotics, autonomous vehicles, or frontier-AI data pipelines
• Experience managing distributed/global and/or vendor workforces
• Built annotation tooling or partnered tightly with a tooling team
• Experience training or fine-tuning autolabeling models, or partnering closely with the ML teams that do