Robotic Arm Video Annotation Editor

You will review video sessions of robotic arms performing real-world tasks and create structured annotations. This means marking actions, interactions, transitions, outcomes, and errors at the right points in each video.

The role is focused on careful visual review and data annotation, not traditional post-production editing. You will also flag unclear footage, write concise objective notes, review annotations, and provide constructive quality feedback when requested.

• Mark when robotic-arm actions begin, change, and end.
• Identify object interactions, transitions, task outcomes, errors, and other relevant events.
• Apply consistent judgment about timing, continuity, movement, and small visual changes.
• Complete assigned batches accurately and within established deadlines.

What It Pays And Takes

This is a part-time contractor role for candidates with a professional or academic background in video editing, post-production, filmmaking, audiovisual production, or a related field. Experience with video annotation, visual quality assurance, AI training, or robotics is helpful but not required.

• Pay: $50-$90 USD per hour.
• Time: 20 or more hours per week.
• Work arrangement: Part-time contract work.
• Location: Open to candidates in Argentina, Austria, Belgium, Brazil, Canada, Chile, Colombia, France, Germany, Greece, Italy, Mexico, the Netherlands, Peru, Portugal, Spain, Switzerland, the United Kingdom, and the United States.
• Language: English.
• Required strengths: Frame-level attention to timing, continuity, movement, and visual detail; accuracy during repetitive review; and clear written communication.
• Useful tools: Adobe Premiere Pro, DaVinci Resolve, Final Cut Pro, Avid Media Composer, or a similar video editing tool.

How It Works

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

About OpenTrain And AI Training Work

OpenTrain is where people find and build careers in AI training and data labeling, including work that helps teach artificial intelligence how to understand video. AI training relies on people to prepare and review examples, and experienced contributors are paid for applying careful judgment to this work.