Third-Person Video Data Collector

The Work

You will collect naturalistic video for AI training by recording everyday activities from a stable third-person view. Recordings may take place indoors, outdoors, or inside vehicles.

Each video clip must be at least 60 seconds long and show your full body and the surrounding environment. You will organize and submit files that meet the required duration, framing, resolution, and quality standards.

• Record continuous video clips of everyday activities in indoor, outdoor, and in-vehicle settings.
• Use a compatible 360-degree or wide-angle camera with at least a 170-degree field of view and 720p resolution.
• Keep a stable third-person perspective that shows your full body and the surrounding environment.
• Use a backpack, harness, or vehicle mount safely when required.
• Follow camera placement, safety, and collection instructions.
• Communicate clearly about progress, questions, and technical issues.
• Adapt to updates in collection tasks or project requirements.

What It Pays and Takes

This is part-time contract work. Prior AI training experience is not required, but you must be able to record and submit video that follows detailed technical requirements.

• Pay: $10 to $30 per hour.
• Location: Open to candidates in the listed countries across the Americas, Europe, Asia, Africa, and the Middle East.
• Language: Fluency in English for written and verbal communication.
• Experience: Relevant experience with video recording, action cameras, or 360-degree cameras.
• Equipment: Access to a compatible camera that can meet the required field of view, resolution, and stable framing.
• Mounting: Ability to use suitable mounting equipment safely, including vehicle mounting when required.
• Skills: Strong attention to detail and the ability to follow detailed instructions consistently.

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 artificial intelligence, including collecting and reviewing examples that help models learn. Video contributors help create realistic training data, and careful work is important because the quality of those examples affects how AI systems understand the world.