Egocentric Video Data Contributor

About this role

Imagine earning extra money without changing a thing about your day. No second shift, no commute, no time away from the work or the life you already have. You film what you are already doing, and you get paid for it. Perle is building the data that teaches AI and robotics how real people move, work, and get things done. To do that, we need video recorded from a first-person point of view: the world as you see it, through a small camera mounted on a lightweight headstrap.

We are looking for contributors across the US, Canada, and Latin America to capture everyday footage and turn their ordinary routines into real income. What You'll Actually Be Doing The role is simple: you wear a headstrap with your phone, press record, and go about your day. The footage is captured hands-free from your perspective, so you can keep both hands on whatever you are doing. Contributors record everyday activities and real work.

That includes things like: Household life: doing tasks around the house, cooking, cleaning, organizing, repairs, and other daily routines. On the job: filming while you do your actual job, whether you work in manufacturing, roofing, construction, a restaurant kitchen, a warehouse, or any other hands-on trade. Everyday activities: the small, ordinary moments that make up a normal day, captured naturally as they happen.

There is no script and no acting. The whole point is authentic, real footage of real life. If you can do your job and your daily tasks, you can do this. Why This Is Worth Your Time Earn while you already work: Record while you work or while you handle things at home. Your day does not change; you just capture it. Total flexibility: There are no fixed shifts. You decide when to record and how much. The more quality footage you submit, the more you earn.

Real, steady income: Pay is competitive and varies by region. You are compensated for every hour of accepted footage you deliver. We cover your gear: Perle provides a budget to purchase the headstrap you need to get started, so the equipment is covered. Be part of the future: The work you submit helps train the next generation of AI and robotics. Your everyday routine becomes part of something much bigger. What You'll Need Location: You must be based in the United States, Canada, or a Latin American country.