Use your inpatient medicine expertise and multilingual communication skills to evaluate clinical documentation AI. This remote contract role offers flexible part-time scheduling and pays $170 per hour.
Medical & Health
Remote Hourly · $170/hr
$170/hr
Compensation
1 country
Eligibility
Entry
Experience
Sep 3, 2026
Posted
Open to applicants in
United States
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About Clinical Documentation AI Evaluation
AI training is the human side of building modern artificial intelligence. In this work, physicians review examples, identify errors, and provide structured feedback so AI systems can produce more accurate, complete, and clinically sound results.
This role focuses on inpatient H&Ps, progress notes, discharge summaries, and encounter data. Your clinical judgment will help shape documentation tools while giving you flexible, remote access to cutting-edge AI work.
The Role
OpenTrain AI is seeking a Multilingual Inpatient Hospitalist for clinical documentation AI evaluation. You will assess inpatient documentation and AI-generated notes against hospitalist documentation standards, detailed guidelines, and evaluation rubrics.
This is a remote, part-time contractor position for US-based workers. The schedule is flexible around an active clinical practice, with a minimum availability of 10 hours per week and a time requirement of less than 20 hours per week. The pay rate is $170 per hour.
Remote contract work for US-based workers
Part-time schedule with at least 10 hours of availability per week
Flexible scheduling around current inpatient clinical practice
Pay rate of $170 per hour
What You'll Do
You will use hands-on hospitalist documentation experience to evaluate clinical content carefully and consistently. Your written feedback will help engineering and product teams improve AI systems and refine evaluation processes.
The work includes reviewing both source documentation and AI-generated notes, annotating encounter data, and contributing expert input when guidelines or clinical edge cases require clarification.
Evaluate inpatient documentation and AI-generated notes for accuracy and completeness
Assess clinical soundness and alignment with hospitalist documentation standards
Review H&Ps, progress notes, discharge summaries, and encounter data
Identify omissions, hallucinations, inaccuracies, and documentation gaps
Annotate encounter data using detailed guidelines and consistent rubrics
Provide structured written feedback for engineering and product teams
Contribute expert input on annotation guidelines, documentation standards, and ambiguous edge cases
Requirements
This role requires an MD and current practice as an inpatient hospitalist or internal medicine physician. Candidates must have at least two years of post-residency experience and hands-on experience writing and reading inpatient H&Ps, progress notes, or discharge summaries.
You must be eligible to work in the US and demonstrate advanced C1-level or higher proficiency in speaking, listening, and writing English. You must also have C1-level or higher proficiency in at least one additional supported language.
MD qualification
Current inpatient hospitalist or internal medicine practice
At least two years of post-residency experience
US-based work eligibility
Hands-on judgment when reviewing H&Ps, progress notes, and discharge summaries
Ability to identify clinical omissions, hallucinations, inaccuracies, and documentation gaps
Advanced C1-level or higher speaking, listening, and writing ability in English and another supported language
Strong written communication and careful attention to detail
Ability to follow detailed guidelines and apply evaluation rubrics consistently
Supported Languages
In addition to advanced English proficiency, candidates must be highly proficient in at least one of the following supported languages:
Spanish, Chinese (Mandarin), Chinese (Cantonese), Tagalog, Russian, Haitian Creole, Korean, or Arabic
Portuguese, Polish, Japanese, Turkish, Italian, Ukrainian, Romanian, Finnish, or French
Danish, Catalan, Hungarian, Czech, German, Bulgarian, Indonesian, or Dutch
Why Work in AI Training
Every major AI system depends on people who can review examples, recognize subtle errors, and explain what high-quality results should look like. Specialized contributors bring the professional judgment that automated systems cannot provide on their own.
AI training work is remote and often flexible, making it possible to contribute to emerging technology while fitting projects around clinical responsibilities. Your OpenTrain profile can help you show credible experience and build a long-term portfolio in this growing field.
Apply your clinical expertise to state-of-the-art AI systems
Work remotely with flexible part-time scheduling
Build an AI training portfolio around specialized medical experience
Help improve the accuracy and reliability of clinical documentation tools
How to Apply Through OpenTrain
Create a free OpenTrain account, build a profile that reflects your hospitalist experience and language skills, and apply through OpenTrain. Your profile can also help you discover future AI training opportunities aligned with your expertise.
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