After years of people worrying that AI would swoop in and steal all of our jobs, the market has actually ended up in a very different place. People aren’t looking for fewer humans, they’re looking for talented professionals who know how to work with, harness, and even build AI.

Demand for artificial intelligence talent has shot up, and people are hiring AI specialists faster than they’re hiring for any other role. In fact, LinkedIn ranks Artificial Intelligence Engineer as the fastest-growing job in the UK for 2026, and says employers created at least 1.3 million AI-related job opportunities over the past two years.

Obviously, demand is there, but actually finding the right candidates hasn’t gotten easier. Companies need to track down qualified AI experts faster than ever, and running a standard ‘hiring cycle’ tends to feel far too slow. Fortunately, there are platforms like Fiverr Pro that can really speed things up, offering access to huge volumes of vetted AI professionals, ready to jump into work without the standard delays of typical recruitment.

All you need to do is decide where you’re going to build your shortlist.

Key takeaways

• Demand for AI talent, particularly AI engineers, is growing fast across global markets. But while the demand is real, the best talent isn’t easy to find.
• The problem isn’t necessarily a lack of candidates, it’s too many people who sound convincing, hiring cycles that run too long, and a lack of vetting in the market.
• The platforms worth using save time where it actually counts: filtering, scoping, and getting someone useful in place before the search starts eating your month.
• Open marketplaces still matter. You just pay for that flexibility with more reading, more comparing, more second-guessing.
• Fiverr Pro is strongest when you want more structure, less rummaging around, and a shorter path to somebody who is ready to get to work from the start. Other platforms, such as Arc and Toptal, are also considered leaders in the space.

What separates the best platforms for hiring AI engineers

Most of the criteria for choosing a platform to hire AI engineers mirror those that people would consider when trying to fill any role. How soon do you need someone? What can you afford? How big is the job, really? That part isn’t new.

The awkward bit is the role itself. AI hiring still has a naming problem. ‘AI engineer’ sounds precise until you start looking in depth and realise it can encompass anything from model training setups to automated app builds to someone who’s mostly stitching AI agents and microservices together with databases.

Then there’s the part people dance around a bit. ‘AI engineer’ already means too many different things. Some people can build, some can prototype, some can wire tools together well enough to get a founder excited for a week. Some are basically selling confidence with a technical accent. It’s hard to sort through all of that yourself, and it’s slow.

What you need from the right platform is simple:

• It should cut down the nonsense early. If a platform gives you hundreds of profiles and expects you to call that a win, it’s handing the hardest bit back to your team. That’s fine if you’ve got senior technical people with time on their hands. A lot of companies don’t. They’ve got one product lead, one impatient founder, and a pile of deadlines.
• It should make real capability easier to spot. The most useful platforms are those that make it clear whether someone can take a blurry business problem and turn it into working AI systems, clean hand-offs, sensible tool choices, and something that doesn’t break the minute real users touch it.
• It should fit the shape of the work. Some jobs are six-week builds. Some need a specialist for a few hours a week. Some start as a quick engagement and turn into something bigger. If the way your talent sourcing platform works adds friction to that trajectory, you’re likely better off avoiding it.
• It should make money and scope less murky: AI projects get problematic when nobody pins down deliverables, timing, or likely cost early on. A platform that gives project managers clearer structure is delivering real value.

Let’s take a closer look at five of the leading platforms and the strengths of each one for sourcing AI engineers.

1. Fiverr Pro

Fiverr Pro is the first platform I’d recommend for anyone who wants to hire someone fast, without compromising on quality.

The main section of Fiverr is a big, open marketplace. Useful, yes, but also crowded in the way that crowded marketplaces usually are. You can absolutely find capable people there, but you’ll do more digging, more comparing, more second-guessing. Fiverr Pro takes that work off your plate.

It’s the premium business-facing side, with vetted freelancers, support with hiring, legal and payment protections, and a setup that feels less casual from the start. That distinction matters more than people think. When the job is technical, a loose process gets expensive fast.

The AI section of the site gives you clear insights into the skills you want to sort through: model training, dataset prep, API deployment, and monitoring. Plus, it names the tools buyers actually care about seeing: Python, PyTorch, TensorFlow, scikit-learn, Hugging Face.

This is where I’d go for a defined piece of work with a deadline attached to it. A chatbot for support. An internal assistant. A personalised recommendation feature for your app. An agent optimised to pick up a labour-intensive manual process that needs automating. Fiverr Pro feels tighter, and right now that’s half the battle.

2.    Toptal

Toptal is the platform I’d look at when the cost of a bad hire is high enough to make everybody panic.

It’s all about finding the best talent in the market. Fewer than 3% of applicants make it into the pool, and the screening process runs through communication checks, skills review, live exercises, and test projects that can take three to eight weeks.

So, this isn’t the place you go for a quick browse and a cheap experiment. It’s built for hiring teams who want the platform to be picky before they ever get involved.

Toptal isn’t as ‘fast’ as some other platforms, but it can still match clients with AI developers in about 48 hours, then starts with a trial period of up to two weeks. It also says 98% of clients decide to hire after that trial.

I wouldn’t use Toptal for every piece of AI work. It feels too heavy for that. I would use it for the kind of project where fixing mistakes later would be miserable: core product work, infrastructure decisions, messy model and systems work, anything with real technical or commercial weight behind it. Fiverr Pro feels quicker and more grounded for defined builds. Toptal feels stricter and more controlled. Sometimes that’s worth paying for.

3.    Upwork

Upwork makes sense when you want to see the market in all its chaos. Strange selling point, I know, but sometimes that’s exactly the useful part.

If the brief is still a little rough, or the job could go in a few different directions, this platform gives you space to test it out. You put the role up, proposals come in, and pretty quickly you can see the spread: different rates, different ways of thinking, different levels of confidence, some earned, some clearly not. That tells you a lot on its own.

Its AI hiring pages are practical, too. They push buyers to describe the use case properly, not just say ‘need AI help’ and hope for the best. Frameworks, cloud setup, project goals, all that. There are templates and interview prompts too, which sounds dry, but honestly, a lot of teams need that. Upwork also says proposals can come in within 24 hours, so it’s not slow.

The catch is that you get more choice, but then you have to deal with more choice. More reading, profile checking, and trying to work out who really understands the work and who’s just good at sounding current. If Fiverr Pro is narrower and calmer, Upwork is broader and noisier.

4.    Arc

Arc makes sense when the team is fully remote and your priority is to find AI engineers who can actually work with the people on your team smoothly.

Arc is built around remote hiring, and it gives most teams exactly what they need: vetted talent, domain expertise, English fluency, and no fee until you hire. It also says buyers can view matches quickly and hire freelance talent in about 72 hours.

The AI section is pretty specific, too. Arc says it pre-screens remote AI developers and pulls from the top 2% of applicants who pass its technical and communication assessment.

The profile mix focuses on people with skills in areas like LLMs, NLP, TensorFlow, LangChain, OpenAI, AWS, and other production-side tools. So, it doesn’t feel stuck in the old ‘software developer, but with AI sprinkled on top’ mode.

I’d look at Arc for a distributed team, a contract role that might grow into something bigger, or a hire where communication matters just as much as raw technical confidence. It sits in a useful middle ground – more filtered than the big marketplaces and less ceremonious than Toptal.

5.    Freelancer.com

Freelancer.com is the one I’d keep around for scrappier jobs. It’s fast, busy, and very good at giving you a rough read on the market.

The site says it has 87.7 million registered users and 25.6 million jobs posted, which mostly tells you one thing: you’re not going there for a quiet, curated experience. You’re going there because you want replies quickly and you want to see how people price the work.

That can be handy. Say the project is small – a proof of concept, maybe. A narrow automation task. Some integration work. Something annoying and contained. In those cases, getting a pile of bids fast is actually useful. You learn what people think the job is, how long they think it’ll take, and who’s clearly bluffing.

That’s the catch with a marketplace this open. You get variety, but you also get repetition, overpromising, and a lot of profiles that start to blur together after ten minutes. So, I wouldn’t treat Freelancer.com like a place where the platform has done much of the filtering for you. It hasn’t. The burden sits with the buyer.

How to choose the right platform for your AI hiring needs

Often, the platform you go with comes down to how much mess you’re willing to absorb.

My top pick, Fiverr Pro, is best if you want a tighter process from the start. It suits teams that have a defined problem, need somebody confirmed to be dependable fairly quickly, and don’t want to spend a week circling profiles that all sound half-right.

Try Toptal if the work carries real technical weight and you’d rather pay more for stricter screening than deal with mistakes later. Arc.dev might be a good option if the team is remote, communication matters a lot, and there’s a decent chance the role could grow into something longer-term.

Pick Upwork if you want range. More proposals, more pricing spread, more ways of tackling the same brief. That’s useful when the project is still taking shape or you want to compare different approaches before committing. It also means more sorting and more trial and error on your side.

Then there’s Freelancer.com if the budget is tighter, the job is smaller, or you want a quick market read before making a bigger decision. Just go in knowing you’ll need sharper filters of your own.

Finding the best AI talent

The market for AI talent isn’t calming down. The roles are growing fast, the skills gap is real, and strong candidates cost more than they did even a year ago. That’s the backdrop for every hiring decision in this space now.

Each of these platforms has a place. Upwork is broad. Toptal is strict. Arc is a good fit for remote teams. Freelancer.com is useful when the work is smaller and the budget matters more.

Fiverr Pro earns attention because it deals with the bit everyone hates most: wasted time. The field is narrower, the structure is clearer, and the whole process feels more suited to a business that wants to get moving. For plenty of teams, that’s the difference between making a hire and losing another week to aimless searching.

FAQs

What are the best platforms for finding AI engineers?

The ones that are most worthy of consideration are Fiverr Pro, Toptal and Arc. After that, the real question is fit. Fiverr Pro is the cleaner, more guided option. Toptal is built for buyers who want a tougher gate. Arc is a good match for remote teams. Freelancer.com is usually for low-budget hiring.

Where can I hire AI engineers quickly?

Fiverr Pro, Arc and Toptal all vet the talent on offer on their platforms, so you know you’re less likely to onboard a dud, making the hiring process faster.

How do I choose the right platform?

Start with the shape of the job. If the work is already defined and you want less wandering around, Fiverr Pro is best. If you want to compare a lot of people and a lot of approaches, more open platforms could be better fits.

Can freelance AI engineers handle difficult projects?

Yes. The better question is whether you can spot the right person for your complex job quickly. That’s where the platform starts to matter.

Is a curated platform better than an open marketplace?

Usually, yes, if your team is already stretched. A curated platform cuts down the early mess. An open marketplace gives you more range, but it also gives you more work.

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