Remote | Physician AI Trainer – Hospital Medicine — $80–$125/hour

24-Mag•New York, NY

12d•Remote

About The Position

This remote consulting opportunity is for experienced physicians and hospital medicine professionals to apply adult inpatient clinical expertise to advanced AI training and evaluation. The work involves reviewing medical records, clinical notes, and structured healthcare data; evaluating the accuracy, completeness, and consistency of inpatient documentation; and determining whether clinical statements are supported by the underlying record. Reviews may cover HPI and PMH, admission records, daily progress notes, discharge documentation, treatment plans, social history, and continuity-of-care information. The role also includes medication reconciliation and safety assessment, including review of clinically relevant interactions, contraindications, and renal- or hepatic-adjusted dosing considerations. Professionals will identify unsupported conclusions, missing information, and inconsistencies in medical datasets, then provide structured written evaluations and actionable feedback to improve AI-generated clinical reasoning and medical data interpretation. Assignments follow established evaluation guidelines and require careful attention to medical accuracy and documentation quality. The engagement is freelance/contract, fully remote, and available to professionals in the United States only. Compensation is advertised at $80–$125 per hour, with payment made per completed task that meets project specifications. Task time may vary with complexity, experience, and workflow. Minimum weekly task submission requirements apply. There are 50 openings. Prior AI training experience is not required.

Requirements

MD or DO qualification with Internal Medicine board certification.
Strong expertise in adult inpatient medicine and hospital-based patient management.
Current or recent adult inpatient hospitalist experience, ideally within the past two years.
Understanding of hospital admission procedures, inpatient evaluations, and daily progress documentation.
Experience reviewing clinical assessments, treatment plans, and discharge summaries.
Strong knowledge of HPI, PMH, and social history documentation.
Practical experience with medication reconciliation and inpatient medication management.
Understanding of renal and hepatic dose adjustments and clinically relevant medication interactions.
Ability to identify inaccurate, incomplete, or inconsistent information in patient records.
Familiarity with electronic health records and structured clinical data.
Understanding of hospital workflows, transitions of care, and clinical documentation standards.
Ability to verify that medical statements are supported by patient records.
Excellent clinical reasoning, analytical problem-solving, and attention to detail.
Ability to follow structured evaluation guidelines consistently and communicate review findings clearly in writing.
Ability to work independently on complex medical record evaluation assignments.
Meet minimum weekly task submission requirements.

Nice To Haves

At least five years of professional hospitalist experience is preferred.
Experience interpreting FHIR data or comparable healthcare information formats.
Experience with chart review, clinical documentation improvement (CDI), or utilisation review.
Familiarity with medical coding, clinical quality assurance, or healthcare data validation.
Prior experience with AI model training or evaluation projects is not required.

Responsibilities

Review medical records, clinical notes, and structured healthcare data, including FHIR resources.
Determine whether documented clinical statements and findings are supported by the underlying record.
Assess accuracy, completeness, consistency, and alignment of patient information across narrative notes and structured data.
Review adult inpatient documentation, including HPI, PMH, admission records, progress notes, discharge documentation, assessments, and treatment plans.
Identify incomplete, inaccurate, or inconsistent documentation in inpatient workflows.
Evaluate medication reconciliation records, clinically relevant interactions and contraindications, and renal- or hepatic-adjusted dosing considerations.
Assess medical information used to train and evaluate AI systems, identifying unsupported conclusions, missing information, and inconsistencies.
Apply established evaluation guidelines consistently and assess whether information reflects inpatient care standards and patient circumstances.
Provide expert feedback to improve the accuracy and reliability of AI-generated clinical reasoning and medical data interpretation.
Document findings in clear, structured written evaluations and explain documentation errors and relevant clinical corrections.
Review records for completeness, internal consistency, and alignment with documented patient care.
Contribute professional insights on clinical documentation improvement and inpatient workflows.