We recruit, train, and manage AI Trainers and Data Labelers inside your tools. Full program management or targeted support for recruiting, onboarding, or QA. 100,000+ domain experts across 70+ languages.

100,000+ vetted experts. 70+ languages. Ramp to any size on your timeline.
PhDs, engineers, clinicians, lawyers, creatives. Matched to your specific domain.
Full program management or just the pieces you need: recruiting, training, or QA.

Experts
60,000+
Domains
100+
Languages
70+
Domain experts for any workflow. Code, medical, legal, finance, safety, and creative specialists across 70+ languages, matched to your project.
Engineers, doctors, lawyers, policy experts, and creatives matched to your project.
Native speakers with cultural context across every major region and dialect.
Network of
pre-vetted experts available
We work with you to understand your talent needs, then recruit, screen, and qualify candidates to match. Only approved experts enter production.
We define role requirements, skill tests, and pass criteria specific to your project. No generic applicant pools.
Every candidate is credential-checked and completes realistic task tests. We eliminate risk before work begins.
Every candidate is
before they enter your production tools
Commercial platforms, open-source tools, or your custom internal system. We staff and manage the team directly inside whatever you use.
We work in your labeling platform, chat harness, or internal system. No migration needed.
You own the platform and the data. No "black box" steps or proprietary vendor lock-in.
Find vetted domain experts to train and evaluate your LLMs, driving higher quality and more reliable model behaviors.
Hire experienced annotators to deliver precise, consistent labels at scale across vision, text, audio, and 3D.

Vetted domain experts, not generic crowd workers. Consistent teams you can trust for the long term.
Work in your preferred data labeling stack. No migrations, no lock-in, no overhead.
You see exactly what talent earns and what our management fee is. Zero hidden markups.
Recruiting, training, and QA clustered around your specific domains and goals.
Short answers to the top questions about our Managed Service.
Scale your AI data operations with the #1 network for AI data talent, working in your tools. Get a custom quote today.
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.
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