The work
You will help evaluate AI systems using real obstetric and gynecologic clinical workflows. Your work will focus on accurate, safe responses and sound clinical reasoning.
The role is remote, project-based, and asynchronous. You can complete the work independently alongside another clinical role, at your own pace.
- Create expert-level tasks based on obstetric and gynecologic practice.
- Review AI-generated answers for clinical accuracy, patient safety, and current guidelines.
- Assess reasoning about diagnosis, differential diagnosis, prenatal care, ultrasound, labor and delivery, gynecologic care, and treatment planning.
- Write clear, structured feedback to help improve AI model performance.
What it pays and takes
This role is suited to an obstetrician-gynecologist with clinical training and current US licensure. Relevant expertise may come from general obstetrics, maternal-fetal medicine, obstetric ultrasound, labor and delivery, gynecologic surgery, reproductive endocrinology, gynecologic oncology, or urogynecology.
- Pay: Up to $180 per hour.
- Time: 20 or more hours per week.
- Work arrangement: Remote, part-time, ongoing project-based contract work with no set schedule or minimum hour requirement in the role description.
- Location: Open to candidates in the United States.
- Education: MD, DO, or an equivalent medical degree.
- Training: Completed residency in obstetrics and gynecology.
- Licensure: Current US medical licensure.
- Language: Professional fluency in English.
- Skills: Strong written communication, close attention to detail, and the ability to explain complex obstetric and gynecologic concepts clearly.
- Helpful background: Board certification or eligibility, fellowship training, experience at an academic medical center or teaching hospital, peer-reviewed publications, clinical research, or experience with AI-assisted medical tools.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind systems that generate and evaluate text, images, audio, and other outputs. Experts are paid to create examples, assess responses, and explain what accurate, useful, and safe performance looks like in their field.