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Who owns a training label?

Ownership of annotations is mostly a contract question, partly an unsettled copyright question, and rarely something owners have checked.

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Source permissions โ†’ Annotation agreements โ†’ Defined licensing scopeThree connected layers illustrate how source permissions and annotation agreements together determine the licensing scope.
Source permissionsAnnotation agreementsDefined licensing scope
One dataset. Two rights layers.

Underlying content

Origin, consent, upstream permissions

Annotations & rationales

Creator contracts, work-product rights

Permitted use

Defined by both layers

Contract first

Most label rights are set by the agreement under which labels were made: employment terms, vendor master services agreements, crowd platform terms. Look for assignment of work product, licence-back clauses and restrictions on use beyond the original project.

Copyright is unsettled

Whether a given label is a copyrightable expression varies: a bounding box is unlikely to be; a written rationale or demonstration answer may be. The U.S. Copyright Office's AI reports discuss related questions, and the policy landscape continues to evolve (U.S. Copyright Office). Do not assume either answer without advice.

Rights checklist

QuestionDocument to find
Who created the labels?Vendor SOW, employment contract, platform terms
Were rights assigned to you?Assignment / IP clause
Any use limits?Purpose, confidentiality, non-compete clauses
Underlying content licensed for AI training?Source licence or data agreement
Personal data involved?Privacy notice, consent, DPIA

Not legal advice

This page is general information, not legal advice. Obtain advice from a qualified lawyer about your contracts and each relevant jurisdiction.

Have an annotated dataset or specialist expertise?

Tell us what you own, how the labels were reviewed and which rights you can license. A short overview of your dataset or annotation business is a useful place to start.

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