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WAY TO ENGAGE · 01

Medical data annotation


The AI models used in clinical care are only as good as the data they learn from. As a licensed clinician, you label and annotate medical data — imaging, clinical notes, EHR records — so those models learn from real clinical judgment, not guesswork.


Apply to participate

WHAT THIS INVOLVES

Labeling medical data as a practicing clinician

Annotation means applying your clinical expertise to structure medical data so AI can learn from it — placing labels on scans, marking findings, and coding records the way you would in practice.


  • Imaging annotation — marking findings on X-ray, CT, MRI, and pathology
  • Clinical text and EHR labeling for language models
  • Labeling matched to your specialty and sub-specialty
  • Quality review of other clinicians' annotation

WHAT TO EXPECT


Clear guidelines

Every task comes with a defined annotation protocol.


Matched to your specialty

You only work on data you're qualified to label.


Flexible and remote

Annotate on your own schedule, from anywhere.

WHO SUITS THIS

Clinicians whose expertise sharpens the data

  • Radiologists, pathologists, and other imaging specialists
  • Clinicians across specialties and sub-specialties
  • Non-English-speaking clinicians for multi-language datasets
  • Clinicians in underrepresented geographies
  • Detail-oriented clinicians who value precise work

HOW IT WORKS

From application to first project

01

Apply


Tell us your specialty, credentials, and availability.

02

Get matched


We match you to annotation projects that fit your expertise.

03

Annotate


Work through tasks against a clear protocol, on your schedule.

04

Get compensated


Compensation is processed on completion, with more projects to follow.

Ready to contribute?


Apply to join the Medcase network - we match you only to annotation projects
that suit your exact specialty and clinical profile.



Apply to participate