- Review video footage of robotic arms executing assigned tasks, identifying key actions and outcomes with precision
- Apply detailed grading guidelines to accurately tag and annotate events, providing structured observations that improve model performance
- Mark exact timestamps for the start and end of key actions, transitions, and outcomes, ensuring frame-accurate segmentation of each video session
- Verify timestamp accuracy and alignment across annotations, correcting drift or inconsistencies between labeled events and the underlying footage
- Utilize video annotation tools and platforms to record findings and submit annotated datasets in alignment with project standards and milestones
- Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team
- Participate in ongoing quality reviews, incorporating feedback to maintain rigorous annotation standards
Good Candidature
- Exceptional attention to detail and accuracy in reviewing and tagging visual data
- Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges
- Demonstrated time management and self-organization abilities for independent, remote project participation
- Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges
Nice To Have
- Proven experience with video annotation, data labeling, or similar data-centric annotation projects
- Familiarity with video annotation tools and software platforms, including timeline-based interfaces for timestamping and event segmentation
- Experience with frame-level or timecode-based annotation (e.g., marking event boundaries, working with frame rates, or reviewing footage frame by frame)
- Background in AI training, machine learning data preparation, or robotics projects (strongly preferred)
📌 Senior AI Trainer (Canada)
🏢 Great Value Hiring
📍 Canada
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