I launched aitrainer.work six months ago as a simple job board and aggregator for data annotation roles. The idea was straightforward: scrape listings from platforms like Mercor and micro1, aggregate them all in one place, and build better UX than browsing a dozen different sites.

Since then, the project has evolved into something much bigger than I originally planned. It's now a hybrid platform that includes platform reviews, user-generated content, educational resources, an AI Training Academy and an active global talent pool of candidates looking for work.

The numbers tell the story so far. We're getting 10k monthly visitors, and most of them are coming through organic channels rather than paid ads. I recently launched the talent pool feature, and over 100 users have already signed up to get matched with opportunities as they become available.

Revenue is finally starting to kick in. I'm on track to hit my first full $1k in a single month from candidate referrals, which might not sound like much until you realize that six months ago this was completely zero and that I am getting paid now for candidates I referred back then.

For these kinds of data annotation gigs to trigger a commission users need to sign up, complete their full profile, go through interviews, get hired by a company, get assigned to a project and work a minimum of 10 hours, only then I get paid a commission.

Despite that friction, I've got hundreds of referrals moving through the pipeline and I'm seeing dozens of new signups every single day.

What's Next

I'm building out both B2B and B2C products, but right now I am laser-focused on growing the talent pool and getting better at matching candidates with the right roles.

The long-term vision is to keep the platform completely free for candidates forever. Companies will pay for B2B access so they can find the talent they need to fill their teams. We're still very early, though, so growth is the main priority right now.