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AI Data Auction

Expert demonstration data

Expert demonstration data is a record of a skilled professional completing a real task step by step, collected so a model can learn the process as well as the answer.

Last reviewed

What expert demonstration data contains

  • Task brief and inputs
  • Step-by-step expert workflow
  • Final deliverable
  • Rubric or scoring notes

Who buys it and how it is priced

Expert demonstration data: buyers and pricing
AttributeValue
Belongs topost-training data
Main buyersFrontier labs building agents and professional-grade assistants
PricingPriced mainly by expert hourly rate, which tracks the profession: lawyers, physicians and quantitative analysts cost more than general contributors.

Quality criteria and risks

Quality criteria

  • Verified credentials
  • Review by a second expert
  • Realistic tasks
  • Complete workflows rather than snippets

Risks

  • Credential fraud
  • Experts using models to generate answers
  • Confidential client material leaking into samples

Providers that list expert demonstration data

Auction and pricing mechanisms that fit

  • Posted-price sale: Fits catalogue datasets that can be sold many times, such as cloud data exchange listings.
  • Reverse auction: Fits a buyer that knows what it needs and wants several vendors to compete, such as sourcing expert data from labs.

Key terms

expert demonstration
An expert demonstration is a recording of a skilled professional performing a task step by step, used to teach a model the process.
rubric
A rubric is a written set of criteria that tells reviewers how to score or compare a model output.
reviewer calibration
Reviewer calibration is the process of aligning reviewers' judgments with a gold standard through examples, feedback and checks.
data provenance
Data provenance is the documented history of where data came from, who created it and what rights attach to it.

Frequently asked questions

Why do labs pay for expert demonstrations?
Public web text shows finished work, not the steps behind it. Demonstrations capture the process that agents need to reproduce.