Turing is one of the most credible names in the "hire vetted remote engineers" category — a global talent platform that has since become a serious AI-training company working with the top model labs. If you want AI-native developers matched to you fast, from a very deep pool, and you're comfortable hiring out of a marketplace, Turing is a genuinely strong option to look at. Turing was founded in 2018 and is led by co-founder and CEO Jonathan Siddharth. It started as a platform for sourcing and vetting remote software engineers, using its own matching to place developers with companies quickly. That business worked, and then it changed shape: in 2022 OpenAI engaged Turing to help generate training data and code for improving LLM reasoning, and that line of work took off (Sacra). Today Turing runs two arms. Turing AGI Advancement works with frontier labs — clients including OpenAI, Google, Anthropic, and Meta — to generate training data, run model evaluations, and support post-training (Sacra). Turing Intelligence builds and deploys AI systems for Fortune 500 companies and government, and places AI-native talent and teams (Turing). The talent business you'd hire from is the same deep network that powers the lab work.

The scale is real. Turing reports a network of 4M+ vetted AI and engineering talent profiles across 100+ countries (Turing). On the placement side it advertises a 97% engagement success rate with matched talent and an average of ~4 days from initial scope to project start (Turing). The company is also on solid financial footing, which matters when you're trusting a vendor with a hire. Turing hit roughly $300M in annualized revenue runrate at the end of 2024 — nearly triple the prior year — and reached profitability (BusinessWire). In March 2025 it raised a $111M Series E at a $2.2B valuation, bringing total funding to $225M — up from the $1.1B valuation it carried at its 2021 Series D (Turing, SiliconANGLE).

Depth of pool. Four million vetted profiles across a hundred countries is a genuinely large top-of-funnel. If you need a specific stack or a hard-to-find specialty, the odds someone in that pool matches are good. Speed. A ~4-day scope-to-start figure is fast for a real engineering engagement. If you have a defined project and want someone building this week, that's the pitch, delivered. AI credibility earned in the hardest room. Turing's engineers and domain experts are the people generating training data and evaluations for OpenAI, Google, Anthropic, and Meta (Sacra). Very few talent platforms can say their vetting bar is calibrated against frontier-lab work. Company stability. Profitable, $300M runrate, well-capitalized. You're not betting on a vendor that might vanish mid-engagement.

It's a matched pool, so fit still needs your judgment. Turing's model gets you a strong candidate quickly from a large network. The final read on whether this specific person is the right AI-native fit for your codebase and your team is still yours to make — the match is the start of the conversation, not the end of it. The company's center of gravity has moved. Turing's headline growth is in AI-training and data work for labs, not classic dev staffing. That's a sign of strength, but it means talent placement is one line of a broader business. If you want a partner whose entire focus is your hire, weigh that. You verify AI-native, and you run the employment. A match tells you someone cleared Turing's bar. Confirming they'll be excellent on your problem — and handling the contract, payroll, and compliance around them — lands on your side of the table.

The best AI engineers usually aren't in a matched pool — on Turing or any marketplace — waiting to be paired with your project. The ones you actually want are already working. Booked on a contract somewhere else, heads-down, not sitting in a network to be matched. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We go get them.

And we don't ask you to trust that an algorithm matched well. We give each engineer a real problem to build and watch how they actually work — so you know they're AI-native because you've seen it, not because a profile cleared a filter. Turing's model hands you a fast match and leaves two jobs on your desk: confirming the fit yourself, and running the employment. We do both. When you want one, we employ them for you — one named engineer, and the contract, payroll, and compliance never touch your desk.

An AI matched them to you. We watched them build it. You're not picking from who signed up. You're getting the engineer who never would have.

Turing is a strong, credible platform with real scale, real money behind it, and a vetting bar sharpened on the hardest AI work in the industry. If you want a fast match from a deep global pool and you're set up to make the final fit call and run employment yourself, it's a smart place to look. If you'd rather have the top 1% who aren't in any pool — proven on a live build and employed for you — that's the gap Nextdev fills.