Credential verification for AI annotation

Verify your annotators.
Trust your training data.

Mango's verification API confirms that data annotators hold the licenses and degrees they claim, before they touch a single record. Built for healthcare AI teams that carry regulatory liability for their training data.

For enterprise teams/No commitment required

Currently verifying credentials in Radiology

Annotator credentialPending
MR
Dr. Maya Rao, MD
annotator_id: mng_4f81a2c
license_no
MD-NY-218443
state
NY
degree
MD, Columbia '14
specialty
Radiology
State medical board: NY OPMC
National Student Clearinghouse
Sanction registries (NPDB scan)
certificate_hash
0xa9c4f1e2d3b78f04...mng.sig
VERIFIED
Awaiting verification
cert (sample) 0x8f2a...b41 ยท signed 2026-06-16
Verified against
State medical licensing boardsNational Student ClearinghouseDegree verification registriesOIG exclusion listDEA registrant databaseABMS specialty boardsState board disciplinary recordsState medical licensing boardsNational Student ClearinghouseDegree verification registriesOIG exclusion listDEA registrant databaseABMS specialty boardsState board disciplinary records

For enterprise teams

Know exactly who is labeling your medical AI data.

One API call. Independent credential check. Signed audit certificate on every verification.

  • โœ“Verify medical licenses directly against state boards
  • โœ“Confirm degrees through the National Student Clearinghouse
  • โœ“Receive a signed audit certificate per annotator verified
  • โœ“Full compliance documentation: BAA, chain-of-custody, IAA reports
  • โœ“Built for FDA audit and HIPAA compliance requirements

For credentialed annotators

Get verified. Get matched to meaningful work.

Mango is building a pool of independently verified physicians, nurses, and clinical specialists for healthcare AI annotation. Join the waitlist to be first in.

  • โœ“Your credentials verified and recognized by enterprise buyers
  • โœ“Mango badge, a portable professional credential
  • โœ“Stable, well-paid annotation work in your domain
  • โœ“Retainer options for top verified annotators

Self-reported credentials are the industry default, and almost no one verifies them.

When an annotator says they are a licensed physician, most pipelines take them at their word. That word becomes your training data, and your liability. Mango confirms the license, the degree, and the specialty before anyone labels a single record.

Self-reported vs Mango-verified

Illustrative example. Sample profiles, not real verifications.

What a self-reported intake looks like, and what an independent check would return.

Three sample annotator profiles. Switch between them to see what an independent check returns.

Names and details are illustrative.

Self-reported on intake formNo checks
Dr. Maya Rao
license_noMD-NY-218443
stateNY
degreeMD, Columbia '14
specialtyRadiology
experience9 years
decision: accepted_on_trust
Example verification resultapproved
Dr. Maya Rao
โœ“
License
Active, NY OPMC, expires 2027-06
source: state board API
โœ“
Degree
Confirmed via NSC, conferred 2014-05
source: National Student Clearinghouse
โœ“
Sanctions
Sanctions: none found
source: OIG exclusion list and state board disciplinary records
cert (sample): 0xa9c4f1...mng.sigsigned

Coming next

Want Mango to run the whole annotation project?

Hand us the workload and we will staff it with independently verified specialists and deliver labeled data with full compliance documentation. Managed annotation is in development. Join the early list.

Ready to trust your training data?

Request API access or join the annotator waitlist.