Every job listing is an AI or ML role—nothing else.
A laser-focused job board that shows only Artificial-Intelligence and Machine-Learning roles. No generic “software engineer” noise, no UX gigs, no random crypto marketing jobs—just the positions where you’ll build, ship, or scale intelligent systems.
You’ve scrolled past enough “AI-adjacent” noise on generic job sites: front-end gigs mis-tagged as “ML,” data‐entry posts masquerading as “AI ops,” and recruiters who toss “GPT” into every title. We built this portal so you waste zero time filtering—every single listing here is a hands-on software-engineering role where you’ll touch models, pipelines, or the infra that powers them. Quality you can trust Human vetting, every single post. An ML engineer reads the JD; if the role doesn’t involve bu
GAI Jobs by Aiminions.io is exactly what the AI ecosystem needs right now — a dedicated, focused platform that bridges the gap between top AI talent and forward-thinking companies. The clean, intuitive UI makes job discovery seamless, and the curated nature of the listings ensures quality over quantity. What really stands out is the platform’s niche focus. In an ocean of generic job boards, having a space tailored specifically for AI professionals and teams is incredibly valuable — whether you'r
Huge congrats on the launch. A laser focused job board like this is exactly what the AI/ML space needed, no fluff, no noise, just high signal roles for those building the future of intelligent systems. Wishing you massive traction, amazing companies, and a community of brilliant builders. Let’s gooo.
That's so sweet and interesting, congratulations on the ideas and design 🎉
Congratulations on the launch🎉🎉🎉
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.