• Review video footage of robotic arms performing tasks, ensuring careful observation of each session.
• Apply detailed video annotation and data labeling skills to tag and categorize footage according to specific grading guidelines.
• Evaluate visual and photographic quality within the videos, applying photography principles to judge image clarity, composition, and relevance.
• Spot and document visual nuances, discrepancies, or issues in robot task execution, maintaining strict attention to detail.
• Follow established project protocols and grading rules consistently for all assigned sessions to ensure data uniformity and reliability.
• Submit clear,
  
  
  
  accurate annotations and written observations through project tools and workflows.
• Collaborate asynchronously with trainers and project coordinators to clarify guidelines or improve annotation quality.

Requirements

• Professional background in photography, with a keen eye for visual composition and technical image evaluation.
• Demonstrated experience in video annotation, data labeling, or related AI training projects, ideally involving robotics or technical footage.
• Exceptional attention to detail and an ability to spot subtle visual cues in dynamic environments.
• Robust adherence to complex guidelines and repetitive processes without sacrificing accuracy or quality.
• Experience using annotation platforms or visual data tools is highly desirable.
• Comfort working independently and managing deliverables in a remote, asynchronous project setting.