Remote Medical Specialist: Inpatient AI Data Review

RemoteJobsOne; Charlotte (NC); A distancia; USD 110.000 - 172.000; A tiempo parcial

Descripción de la vacante

RemoteJobsOne is seeking an experienced Medical Specialist contractor to contribute clinical expertise for AI training on inpatient care and documentation standards. The role focuses on applying adult inpatient training to high-quality real-world input, shaping how models learn and perform.

The position offers output-based compensation with a minimum weekly submission requirement and access to diverse medical record data across multiple countries.

Formación

• MD or DO, board-certified in Internal Medicine.
• Current or recent inpatient hospitalist experience (within the last 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.

Responsabilidades

• 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.

Conocimientos

Inpatient hospitalist experience

Educación

MD/DO, board certified in Internal Medicine

Descripción del empleo

RemoteJobsOne is seeking an experienced Medical Specialist contractor to contribute clinical expertise for AI training on inpatient care and documentation standards. The role focuses on applying adult inpatient training to high-quality real-world input, shaping how models learn and perform.

The position offers output-based compensation with a minimum weekly submission requirement and access to diverse medical record data across multiple countries.