At-Home Household Video Recorder (LATAM)

You will record everyday household chores and other assigned physical tasks from a first-person view. You will wear a phone mount or head strap, follow project instructions, perform repetitive movements safely, and submit clear, consistent recordings.

No previous AI training experience is required. The recordings help create the real-world video data used to train and evaluate AI systems.

• Record household chores and other specified physical tasks.
• Use a compatible smartphone with a wearable phone mount or head strap.
• Follow recording instructions and submit usable footage.
• Perform repetitive movements safely and consistently.

This is flexible, remote contractor work. Payment is based on qualifying recorded video submitted in line with the project guidelines.

• Pay: $6 per hour of qualifying recorded video.
• Schedule: Flexible; no fixed weekly hours are specified.
• Work location: Open to candidates in Argentina, Brazil, Chile, Colombia, and Mexico.
• Language: English fluency is required.
• Phone: iPhone 12 or later, Google Pixel 6 through 9, or Samsung Galaxy S21 or later.
• Equipment: You must be comfortable wearing a phone mount or head strap.
• Physical ability: You must be able to perform repetitive movements safely.
• Requirements: Careful attention to instructions and the ability to produce clear, consistent footage.
• Bonus: A $20 signing bonus is available after completing 20 hours, subject to the project terms.
• Equipment reimbursement: Reimbursement for the required head strap is available after completing 20 hours, subject to the project terms.

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, your location and answers to 8 screening questions.

AI training work is the human side of building artificial intelligence. People record, label, review, and evaluate examples so AI systems can learn from clearer real-world data. OpenTrain helps people find these projects, build a profile, and apply in minutes.