Dermatologist

Overview
We’re looking for an experienced Dermatologist to help train AI models. You’ll measure how well the models answer clinical questions in dermatology, check their reasoning, and help raise the quality of each new version.
This is a new area for our company: teaching AI to reason about conditions of the skin, hair, and nails the way a skilled dermatologist would, reading a presentation, building a differential, and knowing what actually changes management. Open to dermatologists, licensed physicians in other specialties, and licensed nurses.
What you’ll actually do

• Review AI responses to clinical questions alongside the context a clinician would have when answering them.

• Rate each response on accuracy, completeness, safety, and usefulness to the person asking.

• Compare two independent responses to the same question, decide which one a clinician would rely on, and log each discrepancy.

• Write a clear, detailed rationale for your call, including what the weaker response still got right.

- Pinpoint what model responses miss, misstate, or leave incomplete, from incomplete differentials to missed red flags.
Roles this fits
Common backgrounds: Dermatologist, Medical Dermatologist, Dermatology Nurse.
What we look for

• A licensed clinician: dermatologist, physician, PA, NP, nurse, pharmacist, or other clinical professional.

• Hands-on clinical experience with conditions of the skin, hair, and nails.

• Fluency in English (native or bilingual level).

• Clear, well-organized writing and close attention to detail.

- Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.
How it works
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Work & get paid

Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
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