Remote Pediatric Medical Auditor for AI Data QC

• 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 pediatric documentation, including HPI, PMH, birth and developmental history, immunization status, assessments, and plans.
• Identify missing, incorrect, or inconsistent information in medical records, including weight-based dosing and age-appropriate clinical details.
• Share feedback to help improve AI models and data quality.
• Communicate clearly with the project team about your work and findings.

Requirements

• Have strong relevant experience in the domain.
• MD or DO, board certified in Pediatrics (or Pediatrics with a Pediatric Hospital Medicine subspecialty certification).
• 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.
• Experience with chart review, clinical documentation improvement, utilization review, or medical coding/QA is a plus.

Application Process

• Easy Apply on LinkedIn
• Participate in resume evaluation & interview stage