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DataAnnotation is seeking an experienced obstetrician-gynecologist to help train AI models by evaluating clinical responses to obstetrics and gynecology questions, judging reasoning, and guiding improvements.
You will review AI-generated answers, rate accuracy, safety, and usefulness, and write clear rationales that highlight what the model got right and where it falls short. Remote, flexible project-based work across international teams.
We’re looking for an experienced Obstetrician 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.
Common backgrounds: Obstetrician, Maternal-Fetal Medicine Specialist, Certified Nurse-Midwife.
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
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.