Inpatient Clinical Documentation Reviewer (MD/DO)

OpenTrain AI, Inc.; United States; Remote; USD 138,000 - 158,000; Part time

Job summary

OpenTrain AI, Inc. is seeking an Inpatient Clinical Documentation Reviewer (MD/DO) to work remotely as a part-time contractor in the United States. You will review inpatient medical records, FHIR data, and clinical notes to ensure documentation supports clinical claims and identify missing or conflicting information.

A board-certified MD/DO is required for this role with active licensure preferred. You will assess documentation against clinical records, provide feedback to improve model

Qualifications

• Requires MD/DO with board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
• Experience with inpatient records review is preferred.
• Strong knowledge of patient assessment, diagnosis, and clinical reasoning.
• Active medical licensure relevant to clinical practice is beneficial.

Responsibilities

• Review inpatient medical records, FHIR data, and clinical notes to assess documentation against clinical claims.
• Check clinical claims against supporting documentation for accuracy.
• Identify discrepancies and omissions in clinical records.
• Evaluate patient assessments, diagnoses, clinical reasoning, and care plans.
• Provide clear, constructive feedback and written findings to improve model performance.

Skills

Patient assessment

Clinical reasoning

Hospital-based care workflows

Education

MD/DO with board certification in Internal Medicine, Pediatrics, or Hospital Medicine

Job description

Inpatient Clinical Documentation Reviewer (MD/DO)

Review inpatient medical records, FHIR data, and clinical notes to improve AI tools for clinical documentation and decision support. This remote, part-time contractor role pays $100 to $115 per hour and requires an MD or DO.

Remote Hourly · $100-$115/hr

$100-$115/hr

Contract, part-time

Remote

United States

The Work

You will review medical records, FHIR data, and inpatient clinical notes used to train and improve AI tools for clinical documentation and decision support. You will assess whether clinical claims are supported by the documentation and identify missing or conflicting information.

The work also includes reviewing patient history, past medical history, assessments, and care plans. You will apply consistent clinical review standards, give clear feedback to improve model performance and data quality, and share findings through written reports and discussions with project stakeholders.

• Review inpatient clinical notes and health record data.
• Check clinical claims against supporting documentation.
• Identify discrepancies and omissions in clinical records.
• Evaluate patient assessments, diagnoses, clinical reasoning, and care plans.
• Provide clear, constructive feedback and written findings.

What It Pays and Takes

This is a remote, part-time contractor role for candidates in the United States. The work requires professional medical judgment and close attention to detail when reviewing clinical documentation.

• Pay: $100 to $115 per hour.
• Location: Open to candidates in the United States.
• Required credential: MD or DO with board certification in Internal Medicine, Pediatrics, or Hospital Medicine.
• Required experience: Current or recent hands-on inpatient or hospitalist clinical experience, preferably within the past two years.
• Required skills: Strong knowledge of patient assessment, diagnosis, clinical reasoning, and hospital-based care workflows.
• Helpful background: Chart review, clinical documentation improvement, utilization review, medical coding, or medical quality assurance.
• Active medical licensure is relevant to the clinical practice background required for this work.

About AI Training Work

AI training is the human work behind systems that learn from examples, including reviewing documents and rating whether model outputs are accurate and useful. Experienced clinical professionals are needed because medical records and care decisions require knowledge that general reviewers do not have.

Requirements

• Experience: Mid-Senior level