Final Cut Pro Video Editor Video Annotation

This role combines Final Cut Pro video editing with video data annotation for AI training. The listing identifies the role as a Final Cut Pro Video Editor, while the described duties focus on video annotation and media preparation; review the duties and qualifications before applying.

You will organize footage, add accurate metadata, and prepare structured media assets for training datasets. You will also communicate with project coordinators, use feedback from annotation reviews, and submit completed work and documentation according to delivery requirements.

• Annotate and tag video content in Final Cut Pro using project guidelines.
• Segment footage, mark keyframes, and identify relevant scenes.
• Use cutting, sequencing, and color correction techniques when preparing footage.
• Organize and process media through macOS editing workflows.
• Maintain consistent, accurate annotations and prepare post-production deliverables.
• Submit annotations, documentation, and media assets as required.

This is a remote, part-time contractor role. Prior AI training experience is not required, and entry-level through mid-level video editing experience is welcome, including experience shown through portfolio work.

• Pay: $15 to $80 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in the countries specified for this role.
• Language: Fluent written and spoken English.
• Experience: Hands-on Final Cut Pro experience in a professional or academic setting is preferred.
• Skills: Video post-production, including cutting, sequencing, and color correction.
• Tools: Familiarity with macOS-based editing tools and workflows.
• Requirements: Strong attention to detail, clear communication, and the ability to follow detailed project guidelines.
• Helpful but not required: Exposure to video data annotation and media organization.

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training and data-labeling projects, build a profile, and start applications.

AI training is the human work behind artificial intelligence, including preparing and reviewing video, audio, text, and other data so AI systems can learn from reliable examples. Video annotators help describe what happens in footage, which makes their editing and attention-to-detail skills useful to AI projects.