Remote Hospitalist AI Trainer – Inpatient Documentation

Zekai; United States; Remote; USD 96,000 - 165,000; Part time

Job summary

Zekai is seeking a Physician AI Trainer – Hospital Medicine for a 100% remote contractor role in the United States. You will apply adult inpatient clinical expertise to train AI systems, reviewing inpatient records and documentation to guide model learning and data quality.

Ideal candidates hold MD or DO with Internal Medicine and Hospital Medicine designation, 5+ years hospitalist experience, and recent inpatient practice.

Qualifications

• MD/DO board certified in Internal Medicine (Hospital Medicine).
• 5+ years of hospitalist experience.
• Current or recent inpatient hospitalist experience (within 2 years).
• Strong understanding of inpatient documentation and hospital workflows.
• Comfortable reviewing clinical notes and raw medical record data.
• Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.

Responsibilities

• Review medical records, including FHIR data and clinical notes, for AI training.
• Check whether clinical information and claims are supported by the medical record.
• Review inpatient adult medicine documentation (HPI, PMH, meds reconciliation, social history, assessments, plans).
• Follow clear guidelines and apply the same standards consistently.
• Identify missing, incorrect, or inconsistent information in medical records (renal/hepatic dosing, interactions, age-appropriate details).
• Share feedback to help improve AI models and data quality.

Skills

Hospitalist experience

Inpatient documentation

Medical chart review

Attention to detail

Guideline adherence

Clinical data QA

Education

MD/DO board certified in Internal Medicine (Hospital Medicine)

Job description

Zekai is seeking a Physician AI Trainer – Hospital Medicine for a 100% remote contractor role in the United States. You will apply adult inpatient clinical expertise to train AI systems, reviewing inpatient records and documentation to guide model learning and data quality.

Ideal candidates hold MD or DO with Internal Medicine and Hospital Medicine designation, 5+ years hospitalist experience, and recent inpatient practice.