Copy of AI Model Training Expert: Face Motion Data Contributor

About Perle Perle AI builds the foundational training data that powers the world's most advanced AI models. We partner with leading AI companies to source high-quality, human-generated datasets that make AI smarter, more natural, and more capable. Our contributor network spans the globe, and our data directly shapes how AI understands and generates human language. We're looking for AI model training experts in France, Sweden, Poland, Australia, Trinidad & Tobago, Malawi to help build the next generation of computer vision technology. No technical background required , just a camera and five minutes. A limited number of spots are available for this round. What you'll do: Record a short (10–20 second) video of yourself facing your camera, moving your head to trace a simple on-screen path. That's it. Full guidelines and a visual walkthrough are provided once you're accepted. How it works: Apply through this LinkedIn posting and complete the short application form linked below Your first submission is a qualifying round , if it meets our quality guidelines, you're paid immediately and become eligible for ongoing paid tasks You're paid from your very first submission, not just after you've built up a track record Spots for this round are limited, so early applicants are prioritized What you get: $13 guaranteed once your first submission is reviewed and approved Ongoing access to future paid AI training tasks once you've qualified Flexible, remote, work-from-home , no commute, no fixed hours Who we're looking for: 18 years or older (age is verified, so please apply with accurate information) Based in France, Sweden, Poland, Australia, Trinidad & Tobago, Malawi Access to a laptop, desktop, phone, or tablet with a front-facing camera Comfortable following simple recorded instructions How to apply: Click Apply, then complete the short form linked in the application: , it takes about 2 minutes. We'll follow up with recording guidelines and next steps. Apply promptly, as this