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.
Solid 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.

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📌 Photographer | $90/hr Remote (Manitoba)
🏢 Crossing Hurdles
📍 Manitoba