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Mecka AI is building the data infrastructure layer for robotics and embodied AI, designing and operating global systems for data capture, labeling, and hardware-enabled workflows used by leading AI and robotics teams.
You will own annotation operations end-to-end, responsible for quality, throughput, and cost per delivered hour. This is a lead/player-coach role with a heavy product management lean. You'll set the framework, quality bar, and tooling for annotation, translate ambiguous research requests into crisp guidelines, and scale a workforce that can pivot fast without dropping quality. You'll sit at the intersection of ML/CV, product, and operations.
Key responsibilities include:
- Building and leading the in-house annotation team; managing the in-house vs. partner/BPO mix and external vendors
- Translating research and client requirements into clear annotation guidelines, taxonomies, and QA rubrics
- Standing up the quality system: audits, inter-annotator agreement, golden sets, reviewer scorecards, escalation paths
- Partnering with ML/CV and product to spec and pilot new annotation task types for fast-moving experiments
- Driving AI-assisted labeling (model pre-labels → human correction) to raise throughput and cut cost
- Owning metrics and dashboards on quality and volume; reporting annotation state to leadership
- Hands-on annotation work when designing new task types
Required: direct experience in data annotation/labeling, proven people and operations leadership (built or scaled a team/function), PM instincts with ruthless prioritization and strong stakeholder management, clear written and verbal communication, comfort with annotation tooling and ability to leverage AI coding tools for internal trackers/dashboards, intermediate ML understanding, and ability to balance high standards with treating people well.
Ideal background includes data collection, physical AI/robotics, or text annotation experience. Nice-to-have: prior data annotation team leadership, vendor/BPO management with quality focus, familiarity with text annotation styles and video concepts (keypoints, bounding boxes, temporal segments), and experience managing distributed/offshore teams.
