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AI Data Payout

Updated October 2026

How much of my team's time this takes

Independent and sourced. We feature companies that pay us a referral fee. Our scores and reviews don't change for it. How we earn

For records you already have, expect hours rather than weeks. By the buyers' own counts it is mostly an export: about 1 hour of the owner's time at Pewter, 2-3 hours at Goldmined.ai, and at micro1 1-3 hours to build a data manifest plus up to 10 engineering hours to transfer. Add the owner's time on calls and contract review, and more if your archive needs heavy sorting before anything leaves.1,2,3

Who does what

The jobs, and who usually ends up doing them

The owner: two or three calls, deciding what to exclude, reading the offer, signing. The office manager: knowing where things are, which folders are sensitive, which customers need care. The IT person or outside IT provider: exports from email, accounting and job software. micro1's two numbers, 1-3 hours for the manifest and up to 10 engineering hours to transfer, cover the last two roles.1

A law firm's checklist adds a step owners skip: involve legal, privacy, HR and comms at the start, not after the deal is agreed. In a small business that may be one outside attorney and a conversation with whoever handles your people.4

Two models

Connected tools save time; exports keep control

Mercor's ads say it connects to the tools you already use and anonymizes what is inside, which saves your IT person most of the export work. Your Data Value says you send the files yourself. Frankfurt Kurnit advises giving no direct system access to a buyer, which means choosing the export route and spending the hours.5,6,7

A different kind of deal

When the deal asks for new work from your staff

Some deals are not about old files. micro1's "Workflows" track has employees write prompts and give feedback, ongoing work by your team rather than a one-time handover. That takes real hours from real people and is closer to a services contract. Know which track you are being offered.8

What adds hours

What makes it take longer

Paper that needs scanning before anyone can use it. Records split across several companies, which micro1's estimator asks about. Sensitive data that needs more sorting: micro1's estimator flags regulated or sensitive information, and SimpleClosure excludes sensitive employee and health records outright. Old systems nobody can open.9,10

Weigh the hours against the money. Frankfurt Kurnit's checklist tells sellers to weigh the price against the cost of reviewing what goes out. At $100K or more per package, which is what Nyne says its deals run, a few days of staff time is cheap. At a few thousand dollars, it may not be.4,11

FAQ

Questions, answered with sources

  • Mostly an export: about 1 hour of the owner's time at Pewter and 2-3 hours at Goldmined.ai by their own counts, and micro1's video estimates 1-3 hours for a data manifest and up to 10 engineering hours to transfer, plus the owner's time on calls and review.1,2,3

  • Someone has to export the records unless the buyer connects to your tools, as Mercor says it does. micro1 counts up to 10 engineering hours for transfer.5,1

  • Only on workflow-style deals. micro1's Workflows track has employees write prompts and give feedback; its Corpus track uses existing records only.8,1

  • Mercor's model connects to your tools and anonymizes inside them. Frankfurt Kurnit advises against giving buyers direct system access, so weigh the time saved against control.5,7

  • Frankfurt Kurnit tells sellers to weigh price against review cost. Nyne says its deals are $100K or more, which covers several days of staff time.4,11

  • We do not answer legal questions. Ask the licensing company: their team reviews this with you before anything is signed.

Before you sign

We do not answer legal questions. Ask the licensing company before you sign: their team reviews these with you.

Questions for this kind of business

  • How are employee data, union contracts and NLRA questions handled?

Questions for any buyer

  • Is the license exclusive, and for how long?
  • Can you sublicense the data, and to whom?
  • Which AI labs will receive it, and will you tell us?
  • How long do you keep it, and how is it deleted?
  • What is your liability cap, and who indemnifies whom?
  • Will the contract ban re-identification of people in the data?
  • Who removes personal data, by what method, and do we approve it first?

How this page was made

Every figure comes from a published source listed below, each with the date we checked it. Buyer statements are the buyer's own claims and are marked so in the source list. Firm counts come from the US Census Bureau's Statistics of US Businesses. Anything marked as our estimate is ours, not a buyer quote.

Drafted with AI assistance from our research files, then checked against each source. Reviewed 14 Oct 2026. Last updated 14 Oct 2026.

We feature companies that pay us a referral fee. Our scores and reviews don't change for it. See how we earn and how we rank. This site does not give legal, tax or financial advice.

Sources (11)

  1. 1.Summary of micro1's video "How to earn up to $2M training AI models with anonymized company data". Accessed 14 Oct 2026. Company's own claim.
  2. 2.Pewter website. Accessed 14 Oct 2026. Company's own claim.
  3. 3.Goldmined.ai website. Accessed 14 Oct 2026. Company's own claim.
  4. 4.Frankfurt Kurnit Klein & Selz, published 1 Oct 2026. Accessed 14 Oct 2026.
  5. 5.LinkedIn Ad Library, Mercor. Accessed 14 Oct 2026. Company's own claim.
  6. 6.Meta Ad Library, Your Data Value, published 13 Oct 2026. Accessed 14 Oct 2026. Company's own claim.
  7. 7.Frankfurt Kurnit Klein & Selz, published 1 Oct 2026. Accessed 14 Oct 2026.
  8. 8.Summary of micro1's video. Accessed 14 Oct 2026. Company's own claim.
  9. 9.micro1 data payout estimator. Accessed 14 Oct 2026. Company's own claim.
  10. 10.SimpleClosure press release (Business Wire), published 3 Sep 2026. Accessed 14 Oct 2026. Company's own claim.
  11. 11.Nyne sell-company-data page. Accessed 14 Oct 2026. Company's own claim.