OB/GYN AI Quality Evaluator — Remote, Part-Time

Mercor; New York (NY); Remote; USD 83.000 - 165.000; Teilzeit

Zusammenfassung

Mercor is hiring board-certified obstetrician-gynecologists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab. You will read de-identified patient charts and judge AI answers to clinical questions in obstetrics and gynecology.

Remote, hourly, part-time hours with an immediate start. Responsibilities include assessing clinical accuracy, safety, and alignment with care standards, plus documenting structured rationales and flagging potential safety issues.

Qualifikationen

• MD or DO from an accredited medical school.
• Board certified in ABOG Obstetrics and Gynecology.
• Active, unrestricted US medical license.
• Residency complete, plus fellowship where required.
• Currently practicing in the US, with at least 1 year of independent practice.
• 3+ years of post-training experience preferred.
• Clear written communication and close attention to detail.

Aufgaben

• Evaluate AI answers to obstetrics and gynecology questions for clinical accuracy and safety.
• Check each answer against the patient chart and decide which response is stronger.
• Write structured rationales on clinical rigor, completeness and clarity.
• Flag errors that could compromise patient safety.

Kenntnisse

Clear written communication

Attention to detail

Currently practicing in US

Ausbildung

MD or DO from an accredited medical school

Residency completed; fellowship where required

Board certified in ABOG Obstetrics and Gynecology

Jobbeschreibung

Mercor is hiring board-certified obstetrician-gynecologists (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab. You will read de-identified patient charts and judge AI answers to clinical questions in obstetrics and gynecology.

Remote, hourly, part-time hours with an immediate start. Responsibilities include assessing clinical accuracy, safety, and alignment with care standards, plus documenting structured rationales and flagging potential safety issues.