In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Review video footage of robotic arms performing a variety of 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 provided by the project.
• 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 at all times.
• Follow established project protocols and grading rules consistently for all assigned sessions to ensure exceptional data uniformity and reliability.
• Submit clear, accurate annotations and written observations through project tools and workflows.
• Collaborate asynchronously with trainers and project coordinators as needed to clarify guidelines or improve annotation quality.

• 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.
• Experience using annotation platforms or visual data tools is highly desirable.

Work arrangement: Fully remote

Applicant eligibility: 1 eligible country · 4 eligible regions

• Northern America, Latin America, Europe, UK, Oceania.