Multilingual Inpatient Hospitalist (MD) - Clinical Documentation & AI Evaluation
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What you'll do
- Review inpatient documentation — H&Ps, daily progress notes, and discharge summaries — for accuracy, completeness, and clinical soundness
- Evaluate AI-generated inpatient notes and summaries against what a practicing hospitalist would actually document
- Annotate inpatient encounter data against detailed guidelines
- Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
- Provide structured, written feedback that engineering and product teams can act on
- Contribute expert input on annotation guidelines, documentation standards, and edge-case definitions
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
What they're looking for
- 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
- In addition to English, advanced (C1 or above) proficiency — speaking, listening, and writing — in at least one of the following languages: Spanish, Chinese (Mandarin), Chinese (Cantonese), Tagalog, Russian, Haitian Creole, Korean, Arabic, Portuguese, Polish, Japanese, Turkish, Italian, Ukrainian, Romanian, Finnish, French, Danish, Catalan, Hungarian, Czech, German, Bulgarian, Indonesian, Dutch
- Minimum availability of 10 hours/week
Nice to have
- 5+ years of experience post-residency
- Familiarity with Epic
- Prior AI/ML annotation or model evaluation work experience, with strong performance reviews
- Experience documenting patient care in a language other than English
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
This role is for one of our clients
Compensation: $170 per hour
We are hiring practicing Inpatient Hospitalists (MD) on behalf of a healthcare AI partner building advanced clinical documentation and decision-support tools. In this role you will apply your active inpatient expertise to review, annotate, and evaluate hospital clinical documentation, directly shaping the accuracy, safety, and clinical usefulness of medical AI systems.
This role is designed for physicians with a current inpatient practice who write and read hospital documentation as part of their regular work.
This is a multilingual cohort. In addition to English, you must be able to speak, listen, and write in at least one other language at an advanced (C1) level or above.
Requirements
Key Responsibilities
Clinical Documentation Review
- Review inpatient documentation — H&Ps, daily progress notes, and discharge summaries — for accuracy, completeness, and clinical soundness
- Evaluate AI-generated inpatient notes and summaries against what a practicing hospitalist would actually document
Annotation & Structured Feedback
- Annotate inpatient encounter data against detailed guidelines
- Flag omissions, hallucinations, clinical inaccuracies, and documentation gaps in AI-generated output
- Provide structured, written feedback that engineering and product teams can act on
Knowledge Contribution
- Contribute expert input on annotation guidelines, documentation standards, and edge-case definitions
- Raise clarifying questions where guidance is ambiguous and help refine the guidelines
Required Qualifications
- 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
- In addition to English, advanced (C1 or above) proficiency — speaking, listening, and writing — in at least one of the following languages:
- Spanish · Chinese (Mandarin) · Chinese (Cantonese) · Tagalog · Russian · Haitian Creole
- Korean · Arabic · Portuguese · Polish · Japanese
- Turkish · Italian · Ukrainian · Romanian · Finnish · French · Danish · Catalan · Hungarian · Czech · German · Bulgarian · Indonesian · Dutch
- Minimum availability of 10 hours/week
Preferred Qualifications
- 5+ years of experience post-residency
- Familiarity with Epic
- Prior AI/ML annotation or model evaluation work experience, with strong performance reviews
- Experience documenting patient care in a language other than English
Work Arrangement
- Remote, part-time — minimum 10 hours/week
- Flexible scheduling, designed around an active clinical practice
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Company
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