Final Cut Pro Video Data Annotator

You will prepare video data for AI training by organizing footage, adding accurate metadata, and creating structured media assets. The work combines video annotation with practical post-production skills in Final Cut Pro and macOS.

You will follow project guidelines, keep annotations consistent, respond to review feedback, and deliver completed media assets and documentation on time.

• Tag and annotate video content in Final Cut Pro.
• Segment footage, mark keyframes, and highlight relevant scenes.
• Use cutting, sequencing, and color correction techniques where needed.
• Organize and process media through macOS editing workflows.
• Prepare post-production deliverables, documentation, and media assets.
• Communicate clearly with project coordinators and apply feedback from annotation reviews.

What It Pays and Takes

This is a remote, part-time contractor role. Entry-level through mid-level video editing experience is welcome, including experience shown through a relevant portfolio.

• Pay: $15 to $80 per hour.
• Work arrangement: Remote, part-time contract work.
• Location: Open to candidates in multiple countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: English.
• Experience: Practical Final Cut Pro experience in a professional, academic, or portfolio 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 written and verbal communication, and the ability to follow detailed project guidelines.
• Helpful but not required: Interest in or exposure to video data annotation and media organization.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind many artificial intelligence systems. People prepare and review examples such as video, text, audio, and images so AI models can learn how to recognize information and respond more accurately.