Inside the Expert Network Training Every Frontier AI Model
Garrett Lord
Founder; expert network for AI training
AUG 24 2025
The Hidden Layer
Expert Networks Are the Invisible AI Infrastructure
"Every frontier AI model you use has been shaped by expert human feedback. The expert networks that provide that feedback are the most undervalued infrastructure in AI."
Domain experts writing AI evals and training data are the unsung heroes of AI development
Garrett's network: thousands of verified domain experts available for AI training projects
The expert premium: expert-written evals command 100× the price of crowdsourced annotation
The bottleneck for AI in specialized domains is expert availability, not compute
Framework
The Expert Network Model
10K+
verified domain experts
100×
premium for expert vs. crowdsourced
6-18 months
to build a specialized expert network
Verified credentials: doctors, lawyers, engineers, scientists — all background-checked
Project matching: right expert for the right AI training task
Quality assurance: expert output reviewed for calibration and consistency
Compensation: 2-5× market rate for specialized AI training work
The network moatA vetted expert network takes years to build and is nearly impossible to replicate quickly. It's the deepest moat in AI infrastructure.
The Expert AI Training Market
Where Expert Evals Create Value
Medicine: Diagnosing edge cases, evaluating clinical AI recommendations
Law: Reviewing legal reasoning, hallucination detection in case citations
Finance: Evaluating financial model outputs, regulatory compliance checks
Science: Verifying scientific claims, research methodology evals
The specialist gap
There are 1 million ML engineers and 200 million domain experts. The bottleneck is connecting them.
The future of expert work
Domain experts will increasingly spend part of their careers training AI. This is a new income stream for specialists.
Playbook
Access Expert Knowledge for AI
Don't build your own expert network — partner with existing ones
Define your quality requirements before recruiting: what credentials, how many examples, what QA process?
Invest in expert onboarding: 2 hours of context produces 10× better output
The expert career opportunityDomain experts who understand AI training workflows will command premium rates for the next decade. This is a career skill worth investing in.
Contrarian
Expert Knowledge Myths
✗AI will replace domain expertsINSTEAD →✓ AI trained by domain experts will replace the tasks domain experts hate. It will amplify what domain experts do uniquely.
✗Crowdsourcing works for specialized domainsINSTEAD →✓ Crowdsourcing produces average judgments. Specialized domains require specialized expertise.
✗The best models don't need expert feedbackINSTEAD →✓ The best models require the best expert feedback. The bar rises with model sophistication.
✗Expert networks are too slow to scaleINSTEAD →✓ Expert networks scale slowly and compound over time. That's the point — it's a defensible moat.