About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Inpatient Hospitalist (MD) — Clinical Documentation & AI Evaluation Type:Contract Compensation:$170/hour Location:Remote
Role Responsibilities
Review inpatient documentation such as H&Ps, daily progress notes, and discharge summaries for accuracy, completeness, and clinical soundness.
Evaluate AI-generated inpatient notes and summaries against actual hospitalist documentation standards.
Annotate inpatient encounter data following detailed guidelines to ensure precision.
Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated outputs.
Provide structured, written feedback to engineering and product teams for actionable improvements.
Contribute expert input on annotation guidelines, documentation standards, and edge-case definitions.
Qualifications
Must-Have
MD — hospitalist or internal medicine — with 2+ years post-residency and a current inpatient practice.
US-based.
Hands-on experience writing and reading at least one of the following: H&Ps, progress notes, discharge summaries.
Preferred
5+ years of experience post-residency.
Familiarity with Epic.
Prior AI/ML annotation or model evaluation work experience, with strong performance reviews.
Compensation & Legal
Hourly contractor, Paid weekly via Stripe Connect. Application Process (Takes 20–30 mins to complete)
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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
