Overview
We’re looking for an experienced Internal Medicine Clinician to help train AI models. You’ll measure how well the models answer clinical questions in internal medicine, 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 the prevention, diagnosis, and non-surgical management of complex adult disease the way a skilled internist would, reading a presentation, weighing the workup, and knowing what actually changes management. Open to internists across subspecialties, from critical care and endocrinology to infectious disease, nephrology, oncology, primary care, and rheumatology, and to the clinicians who practice alongside them.
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 an incomplete differential to a missed interaction, contraindication, or red flag.
Roles this fits
Common backgrounds: Internal Medicine Clinician, Internal Medicine Nurse Practitioner, Hospitalist.