Pediatric Hospitalist AI Documentation Expert

You will review inpatient pediatric medical records and clinical notes to help improve AI systems that reason about clinical information. The work includes reviewing FHIR data, checking documentation, and giving clear feedback on model outputs and data quality.

• Review HPI, past medical history, birth and developmental history, immunization status, assessments, and care plans.
• Check whether medical claims are supported by the patient record.
• Find missing or inconsistent details, including issues with weight-based dosing and age-appropriate clinical information.
• Apply review guidelines consistently across different patient records.
• Communicate clear findings and feedback about clinical accuracy, documentation completeness, model behavior, and data quality.

This is a remote, part-time contractor role. Work volume may vary based on review experience and workflow, and project guidelines must be followed consistently.

• Pay: $80 to $115 per hour.
• Work arrangement: Remote, part-time contract work.
• Location: Open to candidates in the listed countries across North America, South America, Europe, Asia, Africa, and the Middle East.
• Language: Professional fluency in English.
• Credentials: MD or DO with board certification in Pediatrics, or Pediatrics with Pediatric Hospital Medicine subspecialty certification.
• Experience: At least five years of hospitalist experience and current or recent inpatient pediatric hospitalist experience within the past two years.
• Clinical knowledge: Strong knowledge of admission, daily progress, transitions-of-care, and discharge documentation.
• Review skills: Comfort with clinical notes and raw medical record data, plus careful and consistent judgment about clinical accuracy and documentation completeness.
• Helpful background: Chart review, clinical documentation improvement, utilization review, medical coding, clinical quality assurance, general pediatrics, newborn or nursery care, pediatric subspecialty co-management, or complex chronic conditions.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples, including reviewing medical records and rating model responses. Experienced professionals are paid to apply careful judgment so AI outputs are more accurate, complete, and useful.