Internal Medicine Hospitalist

micro1; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

micro1 is seeking an Internal Medicine Hospitalist contractor to contribute clinical expertise for AI training on inpatient care and documentation standards. You will review medical records and notes, ensuring accuracy and compliance while supporting model learning with real-world input.

Applicants should have 5+ years as a hospitalist, be board-certified in Internal Medicine, and possess strong documentation and workflow understanding.

Qualifications

• MD or DO degree required and board certified in Internal Medicine.
• Current or recent inpatient hospitalist experience (within 2 years).
• Strong understanding of inpatient documentation and hospital workflows (admission, progress notes, transitions of care, 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.
• Verify that 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 standards consistently.
• Identify missing, incorrect, or inconsistent information in medical records ( dosing, interactions, age-appropriate details).
• Provide feedback to improve AI models and data quality.

Skills

Quality Assurance

CDI

Inpatient Medicine

Clinical Documentation

Internal Medicine

Education

MD or DO, board certified in Internal Medicine

Job description

pay

Required Skills

• Quality Assurance
• CDI
• Inpatient Medicine
• Clinical Documentation
• Internal Medicine

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Internal Medicine Hospitalist

Role Type: Contractor

Location: Remote

micro1 is engaging with Internal Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your adult inpatient clinical training to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• 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.

Preferred Qualifications

• At least 5 years of hospitalist experience.
• 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.
• Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.