Why Expert Data
The AI quality bottleneck is human, not compute
As models mature, the bottleneck shifts from data volume to supervision quality. Expert annotation is no longer optional — it's the differentiator.
of data leaders
lack confidence in AI data quality
Monte Carlo, 2024
of AI dev budgets
consumed by data work
Second Talent, 2026
annotation market by 2030
33.95% CAGR
Mordor Intelligence
STEM PhDs from China yearly
3x US domestic rate
Georgetown CSET, 2024
Same Expertise, Fraction of the Cost
US-based expert networks charge premium rates. Maybole connects you with equally qualified specialists at globally competitive pricing.
| Domain | US Rate | Maybole | Savings |
|---|---|---|---|
| Medical | $60–180/hr | $14–55/hr | ~70% |
| Engineering / Legal | $80–150/hr | $14–55/hr | ~65% |
| General Specialist | $25–60/hr | $14–40/hr | ~40% |
Sources: Business Insider, 2025 · Second Talent, 2026
Scale Meets Specialization
Other low-cost regions offer affordable labor but lack deep expert pools. China produces more STEM PhDs than any country and retains 90% of its AI researchers.
| Metric | China | US | Others |
|---|---|---|---|
| Annual STEM PhDs | ~77,000 | ~40,000 | Limited |
| NeurIPS 2025 papers | ~50% | ~30% | <10% |
| University AI programs | ~2,000 | ~500 | Few |
| AI talent retention | 90% | 80% | ~55% |
Sources: Georgetown CSET, 2024 · MIT Technology Review, 2024 · MacroPolo AI Talent Tracker
Maybole bridges the gap — connecting you with China's deep pool of verified domain experts at globally competitive rates.
Deliverables
What Maybole experts deliver
RLHF / DPO Preference Data
Human preference rankings and rationale to align model outputs with desired behavior.
Model outputs + task context
Ranked preference pairs with rationale
Eval Benchmarks
Gold-standard evaluation sets with rubrics and scoring criteria for rigorous model testing.
Capability spec + domain scope
Rubrics, gold-standard answers, scoring criteria
Agent Trace Audits
Step-by-step evaluation of agent execution logs to identify failures and improve reliability.
Agent execution logs + tool calls
Step-by-step scoring with failure analysis
Red Team & Safety
Systematic adversarial testing to uncover vulnerabilities and strengthen model safety.
Model access + risk surface brief
Adversarial test cases + vulnerability report
Domain-Specific SFT Data
Expert-authored instruction-response pairs tailored to specialized knowledge domains.
Task taxonomy + quality rubric
Expert-authored instruction-response pairs
Process
How it works
Two parallel tracks keep customers and experts in sync.
What We Do
From need to expert, handled end-to-end
Expert Sourcing & Verification
We recruit and verify domain experts across 40+ fields. Every expert is credentialed and skill-assessed before joining the network.
Intelligent Matching
Your requirements are matched to the right experts automatically. Target: shortlist within 72 hours of intake.
Flexible Engagement
Pilot a small task, run a project, or build a long-term team. Start at your pace, scale when ready.
FAQ
Frequently asked questions
Maybole connects AI teams with verified domain experts for high-quality data labeling, evaluation, and post-training tasks. We handle sourcing, verification, and matching so you can focus on building.
We're not a gig marketplace. We recruit, verify, and match domain experts under structured processes — not open bidding. Every expert is credentialed and assessed before they're recommended to you.
40+ fields including medicine, law, finance, engineering, computer science, mathematics, and more. Our experts range from senior practitioners to PhD researchers.
Typically within 72 hours of submitting your requirements. Pilot engagements can start within 1-2 weeks.
Pricing depends on domain, complexity, and engagement type. Most clients see 60-70% savings compared to US-based expert networks. Contact us for a custom quote.