Mercor · Language
Multilingual Inpatient Hospitalist (MD) — Clinical Documentation & AI Evaluation
Listed on Mercor as “Multilingual Inpatient Hospitalist (MD) - Clinical Documentation & AI Evaluation”
What this actually is
You evaluate AI responses in the target language, rate translation quality, write prompts in your native language, and flag errors. Not professional translation work in the traditional sense. The platform title (Multilingual Inpatient Hospitalist (MD) - Clinical Documentation & AI Evaluation) reflects the rate band and the expertise required, not the day-to-day work.
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Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
About the Role
Mercor is 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.
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
Quoted from Mercor’s public listing on 2026-09-08. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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