Remote Hospitalist for AI Chart Review & QA

YO AI Labs; New York (NY); Remote; USD 165,000 - 248,000; Part time

Job summary

YO AI Labs is seeking an experienced Locum Tenens Hospitalist to review adult inpatient medical records and clinical documentation for AI training projects. This contract role is remote within the United States, focusing on ensuring clinical accuracy, consistency, and high-quality data for AI model improvements.

Responsibilities include evaluating HPI, history, medications, and discharge documentation, and identifying gaps or inconsistencies.

Qualifications

• 5+ years of hospitalist experience.
• MD or DO with board certification in Internal Medicine, or an Internal Medicine Hospital Medicine focused practice designation.
• Recent inpatient hospitalist experience within the past 2 years.
• Strong understanding of inpatient workflows, including admissions, daily progress notes, care transitions, and discharge.
• Experience reviewing clinical notes and medical record data.
• Excellent attention to detail and ability to follow guidelines consistently.

Responsibilities

• Review medical records, including FHIR data and clinical notes.
• Verify clinical information and claims against medical documentation.
• Evaluate inpatient documentation, including HPI, medical history, medication reconciliation, social history, assessments, and care plans.
• Identify missing, inaccurate, or inconsistent information, including dosing, interactions, and age-appropriate clinical details.
• Apply review guidelines consistently and provide feedback to improve AI models and data quality.

Skills

Hospitalist experience

Attention to detail

Clinical documentation review

Inpatient workflows

Education

MD/DO with Internal Medicine board certification

Internal Medicine Hospital Medicine designation

Job description

YO AI Labs is seeking an experienced Locum Tenens Hospitalist to review adult inpatient medical records and clinical documentation for AI training projects. This contract role is remote within the United States, focusing on ensuring clinical accuracy, consistency, and high-quality data for AI model improvements.

Responsibilities include evaluating HPI, history, medications, and discharge documentation, and identifying gaps or inconsistencies.