Remote | Inpatient Coder (CCS) — $50–$70/hour

24-Mag•New York, NY

14h•Remote

About The Position

This remote freelance consulting opportunity is for experienced US-based inpatient medical coders to contribute coding expertise to AI training and evaluation initiatives. The work involves reviewing inpatient medical records, assessing diagnostic and procedural coding accuracy, evaluating AI-generated clinical documentation, and identifying inconsistencies in medical coding workflows. It combines healthcare coding, clinical data interpretation, documentation analysis, application of coding guidelines, and structured quality assessment to improve the accuracy and reliability of AI systems used in clinical coding and medical record processing. Assignments may include inpatient medical record review, diagnosis and procedure coding assessment, clinical documentation integrity review, validation of medical record abstraction, and evaluation of AI-generated clinical notes, summaries, and coding outputs. Work may also include entering and assessing AI-generated information in designated inpatient and outpatient medical record systems, and providing clear written explanations and structured feedback. Tasks are performed remotely through designated project tools. Prior experience with AI systems is not required. Work must not use confidential or proprietary information belonging to an employer, client, institution, or other third party. The engagement is freelance/contract, fully remote within the United States, pays $50–$70 per hour, and requires availability of at least 10 hours per week. The posting notes 50 available openings. The opportunity is available through 24-MAG LLC, which connects professionals with remote consulting opportunities.

Requirements

Active professional coding certification, such as CCS, CIC, COC, RHIA, RHIT, or another relevant AHIMA or AAPC credential.
Substantial professional experience in medical coding, particularly inpatient record review and clinical documentation assessment.
Strong understanding of ICD-10 coding principles and their application to clinical documentation.
Practical knowledge of CPT and HCPCS coding systems and relevant classification requirements.
Ability to review complex medical records and accurately interpret diagnostic and procedural information.
Experience identifying coding discrepancies, documentation inconsistencies, and opportunities to improve data accuracy.
Familiarity with official ICD-10 and CPT coding references, current code sets, and applicable E&M guidelines.
Strong understanding of healthcare coding compliance, medical record abstraction, and documentation integrity.
Experience with electronic health records, computerised medical record databases, or healthcare coding software.
Ability to apply coding guidelines consistently across complex clinical documentation and classification scenarios.
Excellent analytical reasoning, clinical interpretation, critical-thinking, and problem-solving capabilities.
Exceptional attention to detail and commitment to accurate medical coding and documentation quality.
Strong written communication skills, including explaining complex coding decisions and providing constructive feedback.
Current professional involvement in medical coding, clinical documentation improvement, or a closely related documentation role.
Availability to contribute at least 10 hours per week.
Ability to work independently and contribute effectively within a remote, technology-supported project environment.
Work must be completed without using confidential or proprietary information belonging to an employer, client, institution, or other third party.

Nice To Haves

Familiarity with AI-assisted medical coding, clinical data evaluation, or healthcare technology initiatives.

Responsibilities

Review and analyse inpatient medical records to assess the accuracy of diagnosis and procedure coding against applicable guidelines.
Evaluate clinical documentation for accuracy, completeness, consistency, and appropriate coding representation.
Identify diagnoses, procedures, and relevant clinical information in complex inpatient medical records.
Interpret medical terminology, clinical findings, and documented patient encounters using professional coding expertise.
Apply ICD-10 coding principles and review CPT and HCPCS coding where relevant.
Identify inconsistencies between clinical documentation and assigned diagnosis or procedure codes.
Use current official coding references and applicable Evaluation and Management guidelines to support coding assessments.
Identify documentation discrepancies, missing information, and coding inconsistencies affecting medical record accuracy.
Assess the relationship between documented diagnoses and procedures and their corresponding classification codes.
Assess medical record abstraction and accurate capture of relevant clinical information.
Provide structured recommendations for resolving coding discrepancies and improving documentation quality.
Review and validate AI-generated clinical notes, patient summaries, diagnostic information, procedural documentation, and coding outputs.
Compare AI-generated medical coding outputs with applicable ICD-10, CPT, and HCPCS guidelines.
Identify inaccurate code assignments, incomplete clinical interpretations, and inconsistencies in AI-generated medical information.
Provide detailed written feedback explaining coding inaccuracies, classification decisions, and opportunities to improve model performance.
Evaluate coding outputs for accuracy, completeness, and consistency with current healthcare coding standards.
Review and reconcile diagnosis and procedure coding discrepancies to support reliable clinical data capture.
Enter and assess AI-generated patient information within designated computerised inpatient and outpatient medical record systems.
Produce clear coding explanations, documentation assessments, and structured technical feedback.
Support continuous improvement of medical coding accuracy, clinical data integrity, and AI evaluation deliverables.