Inpatient Coder

Zekai; United States; Remote; USD 34,000 - 83,000; Part time

Job summary

Zekai is seeking an Inpatient Coder on a remote, contractor basis in the United States. You will apply inpatient coding expertise to review documentation, validate codes, and help train AI systems to reflect real-world clinical workflows.

The role focuses on ensuring accuracy in coding, DRG logic, POA checks, and EMR abstracts while creating robust prompts and feedback for AI models. Availability is at least 10 hours per week.

Qualifications

• Active CIC/CCS/CPC certification.
• Inpatient ICD-10-CM coding experience including DRG, MCC/CC, and POA concepts.
• Experience reviewing and abstracting information from EMRs.
• Strong analytical skills and the ability to interpret complex clinical documentation.
• Availability of at least 10 hours per week.
• US-based.

Responsibilities

• Review clinical documentation for accuracy, completeness, and coding integrity.
• Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
• Validate alignment between clinical documentation and assigned codes.
• Write prompts that test how an AI handles real healthcare administrative work, including billing and coding, insurance and prior authorization, scheduling, and regulatory compliance.
• Correct the code/data when the model falls short, grounded in day-to-day operational experience.

Skills

Inpatient ICD-10-CM coding

DRG/MCC/CC/POA concepts

EMR review

Analytical thinking

Education

CIC/CCS/CPC certification

Job description

Role Title: Inpatient Coder

Role Type: Contractor

Location: United States, Remote

our partner is engaging Inpatient Coders to contribute to a valued project focused on enhancing inpatient clinical coding accuracy and data quality. In this role, you’ll apply your facility coding expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• Review clinical documentation for accuracy, completeness, and coding integrity.
• Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
• Validate alignment between clinical documentation and assigned codes.
• Write prompts that test how an AI handles real healthcare administrative work, including billing and coding, insurance and prior authorization, scheduling, and regulatory compliance.
• Correct the code/data when the model falls short, grounded in day-to-day operational experience.

Required Qualifications

• Active coding certification such as CIC, CCS or CPC.
• Inpatient ICD-10-CM coding experience, including DRG, MCC/CC, and POA concepts.
• Demonstrated expertise in reviewing and abstracting information from EMRs.
• Strong analytical skills and the ability to interpret complex clinical documentation.
• Availability of at least 10 hours per week.
• US-based.

Compensation Structure

Compensation is task-based, meaning experts are paid per completed task that meets the project specifications. The average handling time (AHT) is approximately 1 hour per task, and the effective hourly rate will depend on the number of tasks completed and successfully signed off times the selected rate.

This is a 100% remote contract role. Applicants must be located in: United States.