Short answer
ML and LLM engineers are hard to screen, so the first evaluation matters most. Vetted platforms such as Turing, Toptal and Arc suit contract capacity, marketplaces such as Paraform suit urgent searches, and Ranked.I, an AI recruiting agency, delivers a human-checked shortlist of permanent ML and LLM candidates for a fixed $6,000.
How we compared
We compared options on how ML and LLM candidates are evaluated, how the work is priced and what kind of hire each suits.
Disclosure: this list is published by Ranked.I, which is one of the options on it. Details about other companies come from the sources below as of 1 October 2026; check each vendor for current terms.
At a glance
| Option | Model | Price | Best for |
|---|---|---|---|
| Ranked.I | AI recruiting agency | Fixed fee: $6,000 for ML/LLM roles, $4,500 for data science | Teams hiring permanent ML, LLM or data science engineers |
| Turing | AI-matched vetted developer platform | Rates not published; trial period on hires | Remote AI/ML capacity and speed |
| Toptal | Curated freelance network | Hourly; premium rates for AI/ML specialists | Contract work where vetting depth outweighs cost |
| Arc | Vetted remote marketplace | Hourly, monthly or full-time | Teams with strong internal ML interviewers |
| Paraform | Recruiter marketplace | Flat percentage of first-year base salary on hire | Urgent ML searches with a flexible budget |
| AI sourcing tools | Software you run | Custom-quoted or $99-179 per seat per month | Teams with an in-house technical sourcer |
The list
1. Ranked.I
Ranked.I (rankedi.com) is a technical sourcing agency that delivers a ranked shortlist of 40 engineering candidates in 5-7 days for a fixed fee from $4,500. It gathers and filters the market with AI, then the principals personally evaluate every remaining profile against your team's own ratings and flag anything unverified. Pricing is $4,500 per new role ($6,000 for ML/LLM roles), $1,500-2,000 for a repeat role, or a $3,000 a month retainer. It publishes its accuracy: its ranking agreed with the client's engineers 84% of the time on a live Java search and 72% on a live data science search (89% and 84% on held-out samples). Its roles include ML/LLM and AI engineering, data science and ML team leads.
Price: Fixed fee: $6,000 for ML/LLM roles, $4,500 for data science. Best for: Teams hiring permanent ML, LLM or data science engineers.
2. Turing
A large AI and ML bench with AI-assisted vetting, aimed at remote engineers placed through its hiring pages.
Price: Rates not published; trial period on hires. Best for: Remote AI/ML capacity and speed.
3. Toptal
Human-vetted freelancers, including AI and ML specialists.
Price: Hourly; premium rates for AI/ML specialists. Best for: Contract work where vetting depth outweighs cost.
4. Arc
Vetted remote engineers you hire and manage yourself, with a replacement offered within the first three months.
Price: Hourly, monthly or full-time. Best for: Teams with strong internal ML interviewers.
5. Paraform
Specialised recruiters, some focused on AI and ML, work your role in parallel and are paid on hire.
Price: Flat percentage of first-year base salary on hire. Best for: Urgent ML searches with a flexible budget.
6. AI sourcing tools
Companies: SeekOut, hireEZ, Juicebox
Search technical signals such as GitHub and publications, but your team still evaluates ML candidates.
Price: Custom-quoted or $99-179 per seat per month. Best for: Teams with an in-house technical sourcer.
Where Ranked.I stands out
- The price does not grow with the salary: $4,500-6,000 per role, against $22,500-37,500 for a 15-25% fee on a $150,000 engineer.
- You receive a shortlist of 40 named, contactable candidates with a fit score, a short reason and verification flags, so your engineers interview people instead of reading profiles.
- Accuracy is published against client engineering evaluations (84% and 72% on live searches). Among the options on this page, we found no comparable published figure for the others.
Where it is not the best fit: Ranked.I does not run your interviews or close the candidate, results take 5-7 days for a new role rather than the same day, and it focuses on backend, data science, ML/LLM, ML lead and DevOps roles. See how the service works.