We are sharing a specialised remote consulting opportunity for experienced US-Licensed Physicians with deep expertise in internal medicine, adult inpatient care, hospital medicine, and clinical documentation review to contribute their professional knowledge to advanced AI training and evaluation initiatives.
Selected professionals will analyse complex inpatient medical records, evaluate clinical documentation, assess medication-related information, and review AI-generated medical content for accuracy and clinical relevance. The work combines practical hospitalist expertise with medical reasoning, electronic health record analysis, documentation quality assessment, and structured evaluation to help improve the accuracy, consistency, and reliability of AI systems operating across inpatient healthcare and clinical decision-support workflows.
Key Responsibilities
Inpatient Clinical Assessment & Medical Reasoning
Analyse complex adult inpatient clinical scenarios involving diagnosis, patient assessment, and hospital-based medical management
Evaluate clinical information within the context of presenting symptoms, medical history, diagnostic findings, and treatment decisions
Assess whether documented clinical conclusions and medical recommendations are supported by relevant patient information
Apply professional hospitalist judgement to identify important clinical considerations, diagnostic inconsistencies, and documentation requirements
Contribute practical internal medicine expertise to structured clinical reasoning and medical evaluation assignments
Medical Record Review & FHIR Data Analysis
Review and interpret inpatient medical records, structured healthcare data, and clinical notes, including FHIR resources
Evaluate patient histories, diagnostic findings, medication records, and other clinical information for accuracy and completeness
Identify missing, incorrect, or inconsistent information across structured and unstructured medical documentation
Assess whether clinical statements, diagnoses, and treatment-related information are supported by the underlying medical record
Apply systematic chart review methodologies to ensure accurate interpretation of complex inpatient healthcare data
Clinical Documentation & Hospital Workflow Evaluation
Review adult inpatient documentation, including History of Present Illness (HPI), Past Medical History (PMH), social history, assessments, and care plans
Evaluate medication reconciliation records, physician progress notes, and other hospital-based clinical documentation
Assess documentation relating to patient admission, ongoing inpatient management, transitions of care, and discharge
Identify discrepancies, omissions, and inconsistencies affecting the clinical accuracy and completeness of medical records
Apply established hospital medicine practices and documentation standards to support consistent clinical data interpretation
Medication Safety & AI Clinical Content Evaluation
Assess medication-related information, including renal- and hepatic-adjusted dosing, potential drug interactions, and relevant patient-specific considerations
Review AI-generated clinical notes, medical summaries, diagnostic explanations, and treatment-related information
Identify unsupported clinical statements, inaccurate medication information, and inconsistencies between generated content and underlying records
Evaluate AI-generated medical content for clinical accuracy, age-appropriate considerations, and consistency with inpatient care practices
Provide detailed, actionable feedback to strengthen AI performance across clinical documentation and medical information evaluation
Clinical Quality Assurance & Research Collaboration
Apply consistent clinical review standards and established project guidelines across medical documentation assessments
Produce clear clinical analyses, chart review summaries, discrepancy reports, and structured evaluation feedback
Communicate complex medical findings and documentation considerations effectively through written explanations and professional discussions
Collaborate remotely with project stakeholders and multidisciplinary contributors on clinical research and evaluation assignments
Support continuous improvement of clinical data accuracy, documentation quality, and specialised AI evaluation deliverables
Ideal Profile
Doctor of Medicine (MD) or Doctor of Osteopathic Medicine (DO) qualification with active US medical licensure
Board certification in Internal Medicine, including physicians with a Hospital Medicine-focused practice designation
At least 5 years of professional hospitalist experience involving adult inpatient clinical care
Current or recent hands-on inpatient hospitalist experience, preferably within the past 2 years
Strong expertise in adult internal medicine, clinical diagnosis, patient assessment, and hospital-based medical decision-making
Comprehensive understanding of inpatient care workflows, including admission, daily progress notes, transitions of care, and discharge
Demonstrated ability to review complex medical records, clinical histories, diagnostic findings, and physician documentation
Practical experience interpreting History of Present Illness, Past Medical History, medication reconciliation, social history, assessments, and care plans
Strong understanding of medication safety considerations, including renal and hepatic dose adjustments and clinically relevant drug interactions
Familiarity with electronic health records, structured clinical data, and healthcare interoperability formats such as FHIR
Ability to identify inaccurate, incomplete, or unsupported clinical information within medical records
Excellent clinical reasoning, analytical judgement, critical-thinking, and problem-solving capabilities
Experience with chart review, clinical documentation improvement, utilisation review, or medical coding quality assurance is advantageous
Exceptional attention to detail and commitment to accurate, consistent, and clinically relevant medical documentation
Strong written and verbal communication skills, including the ability to explain complex clinical findings clearly
Ability to follow structured evaluation guidelines consistently across detailed medical record review assignments
Comfort working independently within remote, technology-supported research environments
Prior experience with AI training, model evaluation, or clinical AI applications is not required
Engagement Details
Freelance / contract engagement
Fully remote — United States
Compensation: $80–$125/hour
50 available openings
Specialised medical consulting role spanning adult inpatient care, internal medicine, hospital medicine, clinical documentation, and AI training
Work will involve medical record review, FHIR data interpretation, medication safety assessment, clinical reasoning evaluation, and AI-generated content validation
Assignments will draw on practical hospitalist expertise in patient assessment, inpatient management, medical documentation, and clinical decision-making
Clinical evaluations will focus on the accuracy, completeness, consistency, and medical relevance of documented patient information
Collaboration will take place remotely with clinical professionals, project stakeholders, and multidisciplinary contributors
Prior experience working with AI systems is not required
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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