First-Person Household Video Recorder
Listed on 2026-10-08
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Energy/Power Generation
Field/Service Technician
About Open Train Open Train is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.
About this role Open Train is recruiting At-Home First-Person Household Task Video Recorders for a remote robotics data-collection project. You will record synchronized first-person video while completing everyday household chores and other specified physical tasks recordings will support the development and evaluation of AI systems that learn from real-world human activity.
What you will do- Record household chores and specified physical activities using a compatible smartphone.
- Capture synchronized first-person footage with a wearable phone mount.
- Follow project instructions and submit complete, usable recordings.
- Perform repetitive movements safely while maintaining consistent recording quality.
- Own an iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later.
- Be comfortable wearing a phone mount or head strap while recording.
- Have the physical ability to perform the required household activities safely.
- Be eligible to work in the United States.
- Work independently and follow detailed project instructions.
This is remote contractor work performed from home. The advertised pay range is $14‑$15 per hour of recorded video submitted in line with project guidelines. A $20 signing bonus and reimbursement for the head strap purchase are available after completing 20 hours of work, .
Why work with Open TrainOpen Train gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger Open Train profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.
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