Robotics & Embodied AI Data Annotator

Label sensor, vision, action and task-outcome data supporting robotics and embodied AI.

Key responsibilities

• Annotate objects, states, trajectories and manipulation events.
• Maintain temporal consistency across sequences.
• Apply sensor-specific taxonomies.
• Support peer review and error correction.

What we look for

• Robotics, Mechatronics, Computer Vision or related engineering background preferred.

How success is measured

Temporal consistency, annotation precision.

How this works on Jwuma

Candidate profile → skills evidence → domain assessment → calibration task → qualification → project matching → production → peer review → expert QA → performance feedback and progression. Corpshore AI service alignment Applicable across annotation and labeling, RLHF and preference data, model evaluation and red-teaming, multimodal datasets and specialized AI data operations, depending on project scope.

Common questions