Household Task Video Recorder for AI

You will record synchronized first-person video while completing everyday household chores and other specified physical tasks at home. The footage will help train and evaluate AI systems that learn from real-world human activity.

The partner title identifies this as a Smartphone Video Recorder role, while the listed duties focus on household-task video collection. Review the duties and qualifications before applying.

• Record household chores and specified physical activities with a compatible smartphone.
• Capture synchronized first-person footage using a wearable phone mount or head strap.
• Follow detailed project instructions and submit complete, usable recordings.
• Perform repetitive movements safely while keeping recording quality consistent.

This is remote, part-time contractor work performed from home. The role is open in the United States, with specific state exclusions.

• Pay: $14 to $15 per hour for recorded video submitted in line with project guidelines.
• Bonus: A $20 signing bonus is available after completing 20 hours of work.
• Reimbursement: Head strap purchase reimbursement is available after completing 20 hours of work.
• Location: Open to candidates in the United States, except Arizona, California, Colorado, Connecticut, District of Columbia, Hawaii, Maine, New Jersey, Oregon, Rhode Island, and Washington.
• Language: English fluency is required.
• Device: Own an iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or later.
• Physical ability: Safely perform the required household activities while recording.
• Work style: Work independently and follow detailed project instructions.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number and answers to 8 screening questions.

AI training and data labeling are the human side of building artificial intelligence. People collect and review examples such as videos so AI systems can learn how real-world activities look and happen.