Physicians & specialists · Remote worldwide
Physician AI Trainer – Hospital Medicine
Physician AI Trainer – Hospital Medicine 50 Openings | Remote – United States | Independent Contractor Compensation: Illustrative annualized equivalent of $153,600–$240,000 , based on 1,920 hours per year. Listed rate: $80–$125 per hour equivalent. Compensation is output-based, w
Quick answer
Physician AI Trainer – Hospital Medicine pays $153600 – $240000/yr, is fully remote and open to qualified candidates worldwide. Applications are free and open until 2027-10-13.
Apply for this role
- Pay
- $153600 – $240000/yr
- Contract
- contractor · Remote
- Posted
- 2026-10-13
- Closes
- 2027-10-13
What the role involves
50 Openings | Remote – United States | Independent Contractor
Compensation: Illustrative annualized equivalent of $153,600–$240,000, based on 1,920 hours per year.
Listed rate: $80–$125 per hour equivalent.
Compensation is output-based, with payment per task that meets project specifications. The annualized figures are for comparison only and are not guaranteed earnings. Actual compensation depends on completed qualifying tasks, time required, and project requirements. Minimum submission requirements apply, including a minimum number of tasks per week.
About the Role
We are seeking experienced physicians with a background in hospital medicine to contribute clinical expertise to a project focused on inpatient care and medical documentation standards. As a Physician AI Trainer, you will help train and improve AI systems by reviewing real-world clinical information and assessing its accuracy, consistency, and completeness.
You will apply your adult inpatient medicine experience to medical records, clinical notes, and structured healthcare data, helping ensure that clinical claims are supported by the documentation and that important details are not missing or inconsistent.
Key Responsibilities
Review medical records, including Fast Healthcare Interoperability Resources (FHIR) data and clinical notes, for AI training and evaluation.
Verify that clinical information, findings, and claims are supported by the available medical record.
Assess adult inpatient documentation, including history of present illness (HPI), past medical history (PMH), medication reconciliation, social history, clinical assessments, and treatment plans.
Identify missing, inaccurate, or inconsistent information in medical records.
Review medication-related details, including renal- and hepatic-adjusted dosing, potential drug interactions, and age-appropriate clinical considerations.
Apply project guidelines consistently when reviewing clinical documentation and structured data.
Provide feedback that supports improvements in AI model performance and clinical data quality.
Required and Preferred Qualifications
MD or DO degree.
Board certification in Internal Medicine, or Internal Medicine with a Hospital Medicine-focused practice designation.
At least five years of hospitalist experience.
Current or recent inpatient hospitalist experience within the past two years.
Strong understanding of inpatient documentation and hospital workflows, including admissions, daily progress notes, transitions of care, and discharge documentation.
Ability to review clinical notes and raw medical record data accurately.
Excellent attention to detail and the ability to apply written guidelines consistently.
Additional experience that is an advantage:
Medical chart review.
Clinical documentation improvement.
Utilization review.
Medical coding, clinical quality assurance, or related documentation quality work.
Compensation and Project Requirements
Position type: Independent contractor
Work arrangement: Fully remote
Location: United States
Openings: 50
Skills and focus areas
- Clinical documentation review
- Inpatient hospital medicine
- FHIR data analysis
- Attention to detail
- Medical coding
- Guideline adherence
How to stand out
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- Mirror the exact job title and credentials in your CV headline.
- Quantify clinical or research volume — cases, studies, patients, datasets.
- Use a clear CV format: one column, no tables and familiar section headings.
- Apply within 48 hours of posting to land in the first screening batch.
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