Remote Medical Specialist — AI Data QA & Inpatient Docs

micro1; United States; Remote; USD 83,000 - 152,000; Full time

Job summary

micro1 is seeking Medical Specialists for a contractor role focused on inpatient records and documentation standards to support AI training. You will review adult inpatient records, assist with data quality, and provide feedback to improve model learning and accuracy.

Ideal candidates have hospitalist experience, MD/DO with internal medicine board certification, and a strong grasp of inpatient workflows and documentation.

Qualifications

• MD or DO, board certified in Internal Medicine (or Internal Medicine with a Hospital Medicine focus).
• 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.
• 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, 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.

Skills

Hospitalist experience

Inpatient documentation

Chart review

Medical coding/QA

Attention to detail

Education

MD/DO

Board certification in Internal Medicine

Job description

micro1 is seeking Medical Specialists for a contractor role focused on inpatient records and documentation standards to support AI training. You will review adult inpatient records, assist with data quality, and provide feedback to improve model learning and accuracy.

Ideal candidates have hospitalist experience, MD/DO with internal medicine board certification, and a strong grasp of inpatient workflows and documentation.