Clinical text annotation for physicians
Medical language models need clinicians to label what notes and reports actually mean. Annotate de-identified clinical text remotely, in any specialty and in the languages you work in.
What clinical text annotation involves
Entity labeling
Tag diagnoses, symptoms, medications, doses and procedures in discharge summaries and clinic notes.
Radiology and pathology reports
Extract findings, negations and uncertainty from free-text reports into structured labels.
Coding review
Check suggested ICD-10 and SNOMED CT codes against the note and correct them.
LLM answer review
Rate and correct AI-generated clinical answers and summaries for accuracy and safety.
Typical tools: Doccano, Label Studio, Prodigy.
Who we look for
- Physicians in any specialty
- Residents and senior medical students
- Clinical coders with medical training
- Doctors who write clinical notes in languages other than English
Clinical text annotation questions
Do I need to be a specialist for clinical text annotation?
No. Most clinical text projects need physicians and residents from any specialty. Some projects look for a specific specialty or language.
Are projects only in English?
No. Tell us which languages you work in when you apply, and we match you with projects in those languages.
How is clinical text annotation paid?
You set your own hourly rate when you register. Each project states its scope, volume and budget before you accept.
More answers on the medical annotation jobs overview.
Put your clinical text expertise to work on medical AI
Applying takes a few minutes. No commitment until you accept a project.