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

24-MAG LLC; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

24-MAG LLC offers a fully remote freelance consulting role for experienced US-based Inpatient Medical Coders. You will review inpatient records, assess diagnostic and procedural coding accuracy, and evaluate AI-generated documentation to improve AI training in clinical coding.

The ideal candidate holds CCS/CIC/COC/RHIA/RHIT credentials, has substantial inpatient coding experience, and can work at least 10 hours weekly.

Qualifications

• Active professional coding certification (CCS, CIC, COC, RHIA, or RHIT).
• Substantial inpatient coding experience.
• Strong ICD-10 principles knowledge and application.
• Practical CPT and HCPCS knowledge.
• Reviewing complex records and interpreting diagnostic/procedural information.
• Identifying coding discrepancies and data accuracy opportunities.
• Familiarity with ICD-10/CPT references and E/M guidelines.
• Experience with EHRs, medical record databases, or coding software.
• Clear, precise written coding explanations.
• Ability to work remotely and independently.

Responsibilities

• Inpatient medical record review and coding analysis.
• ICD-10 & CPT/HCPCS classification.
• Clinical documentation integrity & data validation.
• AI training & clinical coding evaluation.
• Medical coding quality assurance & collaboration.

Skills

ICD-10 coding

CPT/HCPCS

Clinical documentation review

Data quality assurance

Analytical reasoning

Written communication

Education

CCS

CIC

COC

RHIA

RHIT

Tools

EHR software

AI evaluation tools

Coding software

Job description

Specialised Remote Consulting Opportunity For Inpatient Medical Coders

We are sharing a specialised remote consulting opportunity for experienced US-based Inpatient Medical Coders with expertise in ICD-10 coding, CPT/HCPCS classification systems, clinical documentation review, and healthcare coding quality assurance to contribute their professional knowledge to advanced AI training and evaluation initiatives.

Selected professionals will review inpatient medical records, assess diagnostic and procedural coding accuracy, evaluate AI-generated clinical documentation, and identify inconsistencies across medical coding workflows. The work combines practical healthcare coding expertise with clinical data interpretation, documentation analysis, coding guideline application, and structured quality assessment to help improve the accuracy, consistency, and reliability of AI systems operating across clinical coding and medical record processing environments.

Key Responsibilities

• Inpatient Medical Record Review & Coding Analysis
• ICD-10 & CPT/HCPCS Classification
• Clinical Documentation Integrity & Data Validation
• AI Training & Clinical Coding Evaluation
• Medical Coding Quality Assurance & Technical Collaboration

Ideal Profile

• Active professional coding certification such as Certified Coding Specialist (CCS), Certified Inpatient Coder (CIC), Certified Outpatient Coder (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
• Demonstrated ability to review complex medical records and accurately interpret diagnostic and procedural information
• Experience identifying coding discrepancies, documentation inconsistencies, and opportunities for improved data accuracy
• Familiarity with official ICD-10 and CPT coding references, including current code sets and applicable E&M guidelines
• Strong understanding of healthcare coding compliance, medical record abstraction, and documentation integrity
• Experience working 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 the ability to explain complex coding decisions and provide 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
• Familiarity with AI-assisted medical coding, clinical data evaluation, or healthcare technology initiatives is advantageous but not required

Engagement Details

• Freelance / contract engagement
• Fully remote — United States
• Compensation: $50–$70/hour
• Minimum Availability: 10 hours per week
• 50 available openings
• Specialised healthcare coding role spanning inpatient medical records, ICD-10 classification, CPT/HCPCS coding, and AI training
• Work will involve clinical documentation review, diagnosis and procedure coding assessment, medical record validation, and AI-generated coding evaluation
• Assignments will draw on practical experience in medical coding, clinical documentation integrity, and current coding guidelines
• Activities may include reviewing and entering AI-generated information in designated inpatient and outpatient medical record systems
• Collaboration and task delivery will take place remotely through designated project tools
• 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.