Physician AI Trainer – Hospital Medicine
Listing checked October 13, 2026 · pay as published by Micro1
Overview
micro1 seeks a Physician AI Trainer to bring inpatient clinical expertise to a customer project centered on inpatient care and documentation standards. You will review medical records, including FHIR data and clinical notes, to help train next-generation AI systems. Your input will directly shape how models learn and reason from real-world clinical data. This is a remote contractor role open to physicians across the United States.
What You'll Do6
- 1Examine medical records, including FHIR data and clinical notes, to support AI training efforts.
- 2Verify that clinical information and claims align with what the medical record shows.
- 3Assess inpatient adult medicine documentation such as HPI, PMH, medication reconciliation, social history, assessments, and plans.
- 4Apply project guidelines consistently across every record you review.
- 5Flag missing, incorrect, or inconsistent details, including renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical information.
- 6Provide feedback that helps improve AI models and overall data quality.
Requirements7
- 1MD or DO with board certification in Internal Medicine, or Internal Medicine with a Hospital Medicine focused practice designation.
- 2At least 5 years of hospitalist experience.
- 3Current or recent inpatient hospitalist experience within the last 2 years.
- 4Solid grasp of inpatient documentation and hospital workflows, covering admission, daily progress notes, transitions of care, and discharge.
- 5Comfort reviewing clinical notes and raw medical record data.
- 6Keen attention to detail and the ability to follow clear guidelines consistently.
- 7Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.
Who Should Apply
This role fits a board-certified Internal Medicine physician with at least five years of hospitalist experience and recent inpatient work within the last two years. You should be comfortable reading raw medical record data, including FHIR data, and applying documentation standards across admissions, progress notes, transitions of care, and discharges. Candidates who have done chart review, clinical documentation improvement, utilization review, or medical coding/QA tend to ramp up faster. The role is less suitable for physicians without adult inpatient experience or those who have not practiced hospital medicine recently. A common reason candidates get rejected is falling short of the 5-year hospitalist threshold or lacking current inpatient experience. Another is inconsistent application of guidelines, which shows up when reviewers miss details like renal- or hepatic-adjusted dosing or medication interactions.
Salary Insight
Compensation is $80 to $125 per hour. Pay is output-based, meaning you are paid per task that meets the project specifications. The time needed to complete each task varies with your experience and workflow. Minimum submission requirements apply, and experts must submit a minimum number of tasks per week.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$80–$125/hr
Most AI Training roles pay $38–$96 per hour. This role's pay sits above that range.
Based on 964 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,095
- Listed in last 30 days
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Hiring most right now: micro1 (295) · SME Careers (253) · Handshake AI (132)
Most requested skills · share of roles
- ai training15%
- ai evaluation13%
- llm evaluation12%
- data annotation10%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$80–125/hr
Required Skills
Application Tip
In your application, state your board certification in Internal Medicine and list your years of hospitalist experience with exact dates, making sure to show inpatient work within the last two years. Highlight any chart review, clinical documentation improvement, utilization review, or medical coding/QA work, and mention familiarity with FHIR data or reviewing raw medical records. Quantify your experience where possible, such as the number of admissions, progress notes, or discharges you handled per week.
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