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Inpatient Medical Coder

micro1Legit · not rated yetPosted 5 days ago

Pay: $50–70/hr

Who can apply
Open only to people in United States
Hours
10 hrs/week · Freelance
Where
Remote, work from home
Job type
Expert (SME) review
Openings
50 openings

At a glance: A freelance, remote expert (SME) review job with micro1. It pays $50–70/hr for 10 hours a week. Only people in United States can apply.

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What happens after you click Apply

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. Take the offer, sign your Deel contract and clear the KYC identity check

How this pay compares

This job pays more than 13% of the 126 other medicine & healthcare jobs on the board that state pay; 84% pay more.

This job
$60/hrMiddle of $50–70/hr
Median on micro1
$65/hrFrom 287 other paid jobs
Median in medicine & healthcare
$93/hrFrom 126 other paid jobs
How we compare pay

Requirements

Qualifications
  • ICD-10-CM
  • Inpatient Coding
  • MS-DRG
  • ICD-10-PCS
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

Role Title: Inpatient Medical Coder

Role Type: Contractor

Location: United States, Remote

micro1 is engaging Inpatient Medical 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 inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in line with current guidelines.

• Determine the principal and secondary diagnoses for the full admission and assess how MCCs, CCs, and procedures affect DRG assignment.

• Review clinical documentation for accuracy and completeness, and flag opportunities for provider queries.

• Evaluate AI-generated clinical notes, summaries, and code suggestions against real-world documentation and inpatient coding standards.

• Identify and resolve diagnosis and procedure coding discrepancies to protect data integrity.

• Enter and validate AI-generated patient information in inpatient medical record and encoder systems.

Preferred Qualifications

• Active coding certification such as CIC, CCS, RHIA, or RHIT, or another AHIMA or AAPC coding credential.

• Inpatient ICD-10-CM and ICD-10-PCS coding experience, including DRG, MCC/CC, and POA concepts.

• Access to current official ICD-10 code sets and guidelines, and familiarity with AHA Coding Clinic.

• Currently working in inpatient coding, clinical documentation improvement, or a closely related role.

• Availability of at least 10 hours per week.

Listing history

First seen on our board
(3 days ago)
Posted by micro1
(5 days ago)
Last checked
Source
micro1

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