What actually happens between signing up and landing your first project on OneForma? We sat down live with our AI Global Recruiter to find out, and the answers might change how you approach your first week. Spoiler: it all comes down to one simple idea, building the right key to unlock the right doors!

Most people think AI work means sitting at a computer annotating images or evaluating text, but the next wave of AI training looks completely different. Physical AI systems are being built right now, and the data they need comes from real people doing real things with their hands, their bodies, and their domain expertise. We asked the person who oversees OneForma's talent pipeline to explain what egocentric data actually is, and why a baker, a chef, or a machine operator might be exactly who the AI industry needs next.

Not every language project is the same, and for some, fluency simply is not enough. This video breaks down why certain projects on OneForma require native speakers specifically and what makes native language expertise irreplaceable for that kind of work. Whether you are wondering why you were not eligible for a specific project or simply want to know how your native language skills can work in your favour, this one is for you.

If you've ever wondered why OneForma asks for your ID before you can start earning, you're not alone, and it's one of the most misunderstood steps on the platform. We sat down with one of our identity verification experts to unpack exactly what KYC is, why it protects contributors as much as it protects OneForma, and how to get through it without delays. Her advice comes down to five common mistakes to avoid and one simple rule to remember.

You applied, you waited, and then nothing happened, and no one ever explained why. We sat down with Pooja Anthony, our AVP of Global Workforce Solutions and Talent, to unpack exactly how contributor selection works from the inside. What she shared reframes rejection, KYC, and certifications as signals you control, not obstacles standing in your way.

AI is getting better at HR every year. Screening faster, analyzing deeper, flagging patterns no human would catch in time. But Jelena Milčić, an HR specialist who works inside an AI company, has a front-row seat to exactly where that stops being enough. From recognizing potential that never shows up in a spreadsheet to making calls that require values, not just data — this is the conversation the industry is not having loudly enough.

Most contributors approach project certifications the same way quickly, hoping to get them out of the way. But the way you approach a certification is exactly what determines whether you pass, how fast you hit quality standards once you are in, and whether you stay on the project. We asked the person who builds the certification system to walk us through what actually works.