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# AI Healthcare Operations Expert - Healthcare (Remote)

- **Company:** MEDIX
- **Location:** United States (Remote available)
- **Salary:** $156,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Health Information Management, Large Language Models
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ddf0b935e5639997

## About the Role

* Education: Bachelor's Degree strongly preferred (or equivalent advanced practical domain experience).
 * Domain Experience: Substantive background in Healthcare Operations, Health Information Management (HIM), Revenue Cycle, or Payer/Health Plan Operations.
 * Autonomy & Work Ethic: Exceptional grit, attention to detail, stamina for deep analytical work, and the ability to work independently with minimal supervision., * Coding & Billing / Rev Cycle: Medical Coders, Coding Auditors, Clinical Documentation Improvement (CDI) Specialists, and Revenue Cycle Analysts.
 * Certifications: AAPC or AHIMA credentials-such as Certified Professional Coder (CPC), Certified Coding Specialist (CCS), or Certified Coding Associate (CCA)-are preferred, though practical experience outweighs credentials.
 * HIM & Compliance: HIM Managers/Directors, Compliance Officers, or HIPAA Specialists.
 * Utilization & Care Management: Utilization Review (UR) Nurses or Case Managers.
 * Payer & Claims Operations: Claims Adjudicators, Provider Credentialing Specialists, or Health Plan Operations staff.
 * Prior AI Experience: Experience on remote data annotation or LLM platforms (e.g., Outlier, Turing, Mercor, Handshake AI, Remotask) is a plus.

## Description

* 100% Remote & Flexible Schedule: Work from anywhere in the U.S. with control over your daily hours (maintaining the 30-40 hr/wk commitment).
 * High-Impact AI Resume Booster: Be at the forefront of the AI movement. You aren't being replaced by AI-you are training it to ensure it operates accurately and safely alongside domain experts.
 * Post-Sprint Autonomy: Zero ongoing obligation after 12 weeks, with options to continue working on DataAnnotation projects at your cadence., * Scenario & Task Authoring: Create comprehensive, realistic healthcare operations prompts, edge-case scenarios, and context files (ranging from 10 to 50+ individual documentation files per task) to challenge AI models.
 * AI Model Evaluation & Rubric Creation: Test prompts on active AI models, analyze output accuracy, and build detailed grading rubrics to evaluate model performance against complex healthcare standards.
 * Domain Validation: Ensure AI models handle domain-specific terminology, documentation rules, compliance standards, and workflow logic safely and accurately.
 * Independent Execution: Work self-sufficiently using provided AI tools, detailed project instructions, shared Slack communication, and support resources (such as office hours).


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