Guide
Buyer's guide — a procurement checklist for rights-cleared AI data
A practical checklist for evaluating training-data vendors on consent, provenance, quality and residency.
Before you license a dataset or commission a collection, this checklist helps you ask the right questions: Is consent documented? Is provenance auditable? Can the vendor show inter-annotator agreement? Is an India-residency option available?
Use it alongside the catalog and our engagement models to scope a program you can defend to procurement.
Using this guide
Questions this guide answers
- What should I ask a data vendor about consent?
Whether consent is explicit and recorded per contributor, and whether contributors were paid fairly. If a vendor can't show this, the data isn't rights-cleared.
- How do I verify quality?
Ask for documented inter-annotator agreement and audit cadence. Measurable quality beats assurances. See our annotation service.