Senior Annotator

The Role — Data Annotator / Team Lead

We're looking for an experienced annotation leader who can manage a team, enforce quality, and design annotation workflows for complex robotics, teleoperation and video-based action datasets.

This role is critical: the quality of our annotations directly influences how robots learn in the real world.

Ideal experience: 3–5+ years in high-precision annotation work (video, frame-level segmentation, action tagging, or robotic demonstration labeling), with team leadership responsibilities.

What You'll Do

• Lead a team of annotators reviewing video, sensor and hand-pose data in our review tools.
• Design and maintain annotation standards for action boundaries, object interactions, hand poses, task success/failure and multimodal alignment.
• Review and correct AI-proposed action chunks, score annotations, enforce consistency and manage correction loops.
• Work closely with the Data Science and ML teams to shape annotation schemas and the golden benchmarks our automatic stages are measured against.
• Identify ambiguities, failure cases and unclear instructions — and propose tighter definitions.
• Train new annotators, maintain documentation, and monitor team throughput vs. quality metrics.
• Drive continuous improvement: less noise, fewer ambiguities, more signal.

Who You Are

• 3–5+ years in video annotation, robotics data labeling, action recognition tagging, or similar.
• Has led a small team or supervised annotation groups with measurable output.
• Obsessed with detail — comfortable making hard judgment calls on ambiguous frames or motions.
• Understands how annotation choices affect downstream ML models (or is eager to learn quickly).
• Organized, reliable, and able to enforce standards without micromanagement.
• Bonus: experience with tools like CVAT, Label Studio, Voxel/3D labeling systems, or teleop trajectory annotation.

Why Humaid

• Your work directly shapes how robots learn to act in the real world.
• Access to unique industrial environments (via AKFA Group) — real tasks, real edge cases.
• Collaborate daily with the Data Science and ML teams on the schemas and benchmarks that drive our pipeline.
• Growth path toward Annotation Operations Lead or Data Quality Manager as we scale.
• Fast execution culture; minimal bureaucracy.
• Competitive salary plus the everyday perks that matter — sports and wellness memberships, team events, and the equipment you need to do your best work.