About the role
Overview
We’re looking for an experienced Gynecologist to help train AI models. You’ll measure how well the models answer clinical questions in obstetrics and gynecology, 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 in women’s health the way a skilled clinician would, reading a presentation, building a differential, and knowing what actually changes management. Open to board-certified OB/GYNs and to nurses, NPs, and PAs licensed to practice clinically in obstetrics and gynecology.
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: Gynecologist, Obstetrician-Gynecologist, Women’s Health Nurse Practitioner.
What we look for
- A board-certified obstetrician-gynecologist with at least 3 years of experience post-residency, or a nurse, NP, or PA licensed to practice clinically in obstetrics and gynecology.
- Hands-on clinical experience in obstetrics and gynecology.
- 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
Apply
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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