Remote Hospitalist for AI Data Review & QA

RemoteJobsOne; Charlotte (NC); Remote; USD 110,000 - 172,000; Full time

Job summary

RemoteJobsOne is seeking a Locum Tenens Hospitalist for a fully remote contractor role, open to candidates in 55 countries including the United States. The role offers hourly pay between $80 and $125 and focuses on inpatient care and documentation standards to train next-generation AI systems.

Applicants should be MD or DO, board-certified in Internal Medicine (or with a Hospital Medicine designation) and have 5+ years of hospitalist experience, including recent inpatient work.

Qualifications

• MD or DO, board certified in Internal Medicine (or Internal Medicine with a Hospital Medicine focused practice designation).
• Current or recent inpatient hospitalist experience (within the last 2 years).
• Strong understanding of inpatient documentation and hospital workflows, including admission, daily progress notes, transitions of care, and discharge.
• Comfortable reviewing clinical notes and raw medical record data.
• Strong attention to detail and ability to follow clear guidelines consistently.

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, including HPI, PMH, medication reconciliation, social history, assessments, and plans.
• Follow clear guidelines and apply the same standards consistently.
• Identify missing, incorrect, or inconsistent information in medical records, including renal- and hepatic-adjusted dosing, medication interactions, and age-appropriate clinical details.
• Share feedback to help improve AI models and data quality.

Job description

RemoteJobsOne is seeking a Locum Tenens Hospitalist for a fully remote contractor role, open to candidates in 55 countries including the United States. The role offers hourly pay between $80 and $125 and focuses on inpatient care and documentation standards to train next-generation AI systems.

Applicants should be MD or DO, board-certified in Internal Medicine (or with a Hospital Medicine designation) and have 5+ years of hospitalist experience, including recent inpatient work.