Your Business Expertise is Gold for AI (and it's Paid by the Hour)

For years, creating training data for AI meant labeling images at a few cents or a few dollars each. That era is over: AI labs now hire experts — doctors, lawyers, engineers, consultants, accountants — to DEFINE what a good answer is and to articulate their reasoning (TechCrunch, Time, 2025). The reason is simple: the public web has already been absorbed; what's missing is tacit expert reasoning, the kind that is never written down.

This work is compensated. Public rate cards and surveys place expert evaluation and refinement at around $75 to $200 per hour depending on the field (Mercor, TechCrunch, 2025), and specialized medical annotation between $50 and $100 per hour, representing a 3 to 5 times premium over the rate for a general annotator. Buyers are identified: OpenAI, Anthropic, Google, Microsoft, and Meta source this type of data through specialized intermediaries (Sacra, 2025). As an indication, these intermediaries report market sizes in the order of billions of dollars annually — raw, self-reported figures, to be treated as directional orders of magnitude, not audited truths.

What holds value is not the final answer: it's the process. How a practitioner diagnoses and where they hesitate, how a lawyer reads a contract, what typical errors an engineer corrects and how. The professions concerned are consulting firms and engineering offices, law firms and notary offices, clinics and laboratories, call centers, and specialized technical support.

Articulating your expertise does not mean selling your business. A clear framework — defined scope, confidentiality agreement, agreed compensation — protects your profession while enhancing its value. The first concrete step is to understand what your expertise represents as an asset: launch a free diagnostic on d-nvest.