Your AI Training Team. Recruited, Vetted, and Managed.
We source domain experts, verify them through live proctored testing and interviews, then manage your team day-to-day inside your tools. You keep control of your data and workflow.
20% cost-plus management fee. No per-task software charges, no vendor lock-in, no contracts.
Top talent from leading institutions and companies
From RLHF to Red Teaming. Any Domain, Any Scale.
The AI training capabilities your models need — delivered by domain experts, managed end-to-end, inside your tools.
Post-Training & Alignment
RLHF preference ranking, DPO pair generation, and reward model training data. Our experts evaluate and rank model outputs so your models learn what good looks like.
Reasoning & Verification
Expert evaluation of chain-of-thought reasoning, process reward annotation, and verification of math, code, and logic outputs — step by step, not just the final answer.
Red Teaming & Safety
Adversarial prompt crafting, jailbreak discovery, bias evaluation, and safety alignment testing. We systematically probe your models before your users do.
Domain Expert Annotation
PhDs and professionals in mathematics, medicine, law, finance, and engineering — providing the expert-grade training data that generic crowd workers can't.
Evaluation & Benchmarking
Human evaluation of model outputs, benchmark creation, A/B preference testing, and ongoing quality monitoring. The human baselines automated metrics can't replace.
Multimodal & Multilingual
Vision, audio, video, and document annotation with cross-modal alignment. Plus native-speaker annotation across 118 languages — culturally grounded, not just translated.
We work from any data annotation platform.
Third-party platforms, proprietary internal tools, or custom-built pipelines — our teams work wherever your data lives. No migration required.
Argilla
V7 Darwin
Scale Studio
Encord
Snorkel AI
Label Studio
SuperAnnotate
CVAT
Roboflow
Kili Technology
AWS SageMaker
Dataloop
SuperviselyArgillaV7 DarwinScale StudioEncordSnorkel AILabel StudioSuperAnnotateCVATRoboflowKili TechnologyAWS SageMakerDataloopSuperviselyArgillaV7 DarwinScale StudioEncordSnorkel AILabel StudioSuperAnnotateCVATRoboflowKili TechnologyAWS SageMakerDataloopSuperviselyArgillaV7 DarwinScale StudioEncordSnorkel AILabel StudioSuperAnnotateCVATRoboflowKili TechnologyAWS SageMakerDataloopSuperviselyTransparent Pricing.
Cost-plus model. You pay your team's rate plus a flat 20% management fee. No hidden markups, no contracts, no minimums.
management fee
Everything included in the 20% fee:
- Talent recruiting & sourcing
- Live-proctored vetting
- Project-specific onboarding
- Dedicated program lead
- Daily operations management
- Continuous quality assurance
- No per-task software fees
- No contracts or minimums
Your Tools.Our Experts.Better Models.
Get a dedicated team of domain experts delivering production-ready training data — with published pricing, no platform lock-in, and a program lead who runs it all.
- NDA-protected, SOC 2 ready
- Teams ramped in days, not months
- Data never leaves your infrastructure
- Dedicated program lead
- 20% flat fee, no hidden costs
- Continuous QA & performance monitoring
- Works inside your existing tools
- Scale from 10 to 500+ annotators
How It Works
You define what you need. We handle everything else — from recruiting domain experts to delivering production-quality training data.
- 01
Define Your Requirements
Tell us what you're training — RLHF preference data, SFT datasets, red team evaluations, multimodal annotation. We scope the domains, languages, volume, and quality bar.
- 02
We Assemble Your Team
We recruit domain experts from our 124,000+ network, vet them with live-proctored assessments tailored to your project, and onboard them in your annotation platform.
- 03
Production-Quality Data, Delivered
Your dedicated program lead runs daily operations inside your tools. You get structured training data that meets your quality thresholds — on schedule.
- 04
Scale and Optimize
We monitor inter-annotator agreement, retrain underperformers, and expand your team as throughput demands grow. Shift domains or languages without starting over.
Managed Service FAQ
Common questions from AI labs and companies evaluating our managed service.