Data Quality Analyst

• Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots.

• Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency.

• Identify and flag ambiguous or edge-case scenarios for review by the ML team.

• Maintain high throughput and consistent quality across large annotation batches.

• Contribute feedback on workflow improvements and tool enhancements.

Requirements:

• Strong attention to detail and the ability to apply consistent logic across diverse scenarios.

• Comfortable navigating computer-based tools and quickly learning new software.

• Patient, quality-focused mindset with the ability to juggle multiple assignments.

• Clear written and verbal communication skills.

• Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment.

• Fluency in English required.