Final Cut Pro Video Data Annotator
The work
You will prepare video data for AI training using Final Cut Pro and macOS editing workflows. The work combines video annotation, media organization, editing, documentation, and delivery of structured assets.
You will follow project guidelines, keep annotations consistent, communicate with project coordinators, and use feedback from annotation reviews to improve completed work.
- Annotate and tag video content in Final Cut Pro.
- Segment footage, mark keyframes, and highlight relevant scenes.
- Use cutting, sequencing, and color correction techniques when preparing video data.
- Create accurate metadata and organize media assets through macOS workflows.
- Prepare post-production deliverables, documentation, and completed media assets.
- Follow detailed project guidelines and maintain accuracy across annotations.
- Communicate clearly with project coordinators and incorporate feedback from annotation reviews.
What it pays and takes
This is remote, part-time contractor work. Prior AI training experience is not required, and entry-level through mid-level video editing experience is welcome.
- Pay: $15 to $80 per hour.
- Work arrangement: Remote, part-time contract work.
- Location: Open to candidates in the countries listed for this role.
- Language: English fluency.
- Final Cut Pro experience in a professional, academic, or portfolio setting is preferred.
- Knowledge of video post-production, including cutting, sequencing, and color correction.
- Familiarity with macOS-based editing tools and workflows.
- Strong attention to detail, clear written and verbal communication, and the ability to follow detailed guidelines.
- Interest or experience in video data annotation and media organization is helpful but not required.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses examples prepared and reviewed by people to help AI systems understand video, text, images, and other data. Video annotators make footage useful for training by identifying scenes, actions, and other details in a consistent format.
