Pediatric Medical Documentation AI Training Expert

OpenTrain AI, Inc.; Northern (KY); Remote; USD 110,000 - 172,000; Part time

Job summary

OpenTrain AI, Inc. is seeking experienced pediatric hospitalist professionals to review inpatient medical records and clinical notes to help AI systems reason about clinical information.

You will verify that medical claims are supported by the record and provide clear feedback on model outputs and data quality. This remote, part-time contractor role involves reviewing HPI, past medical history, assessments, care plans, discharge documentation, and chart data, applying guidelines consistently and

Qualifications

• MD or DO with board certification in Pediatrics, or Pediatrics with Pediatric Hospital Medicine subspecialty certification.
• English fluency is required.
• At least five years of hospitalist experience.
• Current or recent inpatient pediatric hospitalist experience within the past two years.
• Strong knowledge of admission, daily progress, transitions-of-care, and discharge documentation.
• Comfort reviewing clinical notes and raw medical record data.
• Careful, consistent judgment when evaluating clinical accuracy and documentation completeness.

Responsibilities

• Review inpatient pediatric medical records and clinical notes to aid AI systems.
• Check HPI, past medical history, birth and developmental history, immunization status, assessments, and care plans.
• Verify that clinical claims are supported by the record.
• Find missing or inconsistent information, weight-based dosing errors, and age-inappropriate details.
• Apply review guidelines consistently across patient records.
• Communicate clear findings about clinical accuracy and documentation completeness.

Skills

Clinical judgment

Medical record review

Attention to detail

English fluency

Documentation quality

HIPAA/compliance

Education

MD/DO with Pediatrics board certification

Tools

FHIR data familiarity

Job description

The work

You will review inpatient pediatric medical records and clinical notes to help improve AI systems that reason about clinical information. The work includes checking whether medical claims are supported by the record 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 clinical claims against the supporting medical record.
• Find missing or inconsistent information, weight-based dosing errors, and details that are not appropriate for the patient's age.
• Apply review guidelines consistently across different patient records.
• Communicate clear findings about clinical accuracy and documentation completeness.
• Work with FHIR data, clinical notes, and medical documentation standards.

What it pays and takes

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

• $80 to $125 per hour equivalent, paid per task that meets the project specifications.
• Open to candidates in: AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, ET, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, ZA.
• Fluency in English.
• MD or DO with board certification in Pediatrics, or Pediatrics with Pediatric Hospital Medicine subspecialty certification.
• At least five years of hospitalist experience.
• Current or recent inpatient pediatric hospitalist experience within the past two years.
• Strong knowledge of admission, daily progress, transitions-of-care, and discharge documentation.
• Comfort reviewing clinical notes and raw medical record data.
• Careful, consistent judgment when evaluating clinical accuracy and documentation completeness.

Helpful background

Experience with chart review, clinical documentation improvement, utilization review, medical coding, or clinical quality assurance is helpful. Experience with general pediatrics, newborn or nursery care, pediatric subspecialty co-management, or complex chronic conditions is also valued.

About AI training work

AI training uses examples reviewed and prepared by people to help models produce more accurate results. Experienced medical professionals help evaluate clinical information and model responses where careful judgment and subject knowledge matter.