DaVinci Resolve Video Annotation Editor

The work

You will review video clips in DaVinci Resolve and turn your judgments into structured data that helps AI systems interpret video. The work combines video annotation with practical editing and color-grading knowledge.

You will work independently, follow project guidelines, meet submission milestones, and explain your decisions clearly. You will also share feedback about annotation processes and tools.

• Review, label, and comment on video clips for structured AI training data.
• Evaluate footage for quality, clarity, color, and other visual or technical attributes.
• Use video editing, color correction, and color-grading knowledge during evaluation.
• Document your decisions and communicate clear feedback about annotation work and tools.
• Follow detailed instructions, project milestones, and submission protocols.

What it pays and takes

This is a remote, part-time contractor role. Prior AI experience is not required, but you should be comfortable judging audiovisual content and following detailed labeling instructions.

• Pay: $15 to $80 per hour.
• Work arrangement: Remote contract work with part-time availability.
• Location: Open to candidates in the countries listed for this role.
• Language: Fluent English for written and verbal communication.
• Experience: Hands-on DaVinci Resolve experience in a post-production setting.
• Skills: Video editing, color correction, color grading, digital video formats, and technical specifications.
• You should be organized, detail-focused, able to follow complex instructions, and open to constructive feedback.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find the role and begin the application; it does not employ or pay you for this work.

About AI training work

AI training work uses examples prepared and reviewed by people to improve how AI systems understand and respond to information. Video annotators help by describing and evaluating footage, while people with practical editing expertise bring useful judgment to difficult visual and technical decisions.