Shape the Future of Healthcare AI

Introduction: The Convergence of Healthcare and Artificial Intelligence

The modern landscape of healthcare administration, clinical documentation, and technology is undergoing a massive transformation. As artificial intelligence and machine learning models are increasingly deployed to assist physicians, streamline hospital operations, and optimize patient care workflows, the demand for absolute accuracy has never been higher. AI systems can draft medical summaries and process clinical notes in seconds, but they require rigorous oversight, expert human validation, and deep domain knowledge to ensure they meet the rigorous legal, ethical, and practical standards of modern medicine.

This is where seasoned clinical professionals step in. Leading AI innovators partner with platforms like Mercor to bridge the gap between advanced technology and clinical reality. By recruiting certified medical coding experts, these cutting-edge initiatives ensure that AI models are trained on accurate data, evaluate outputs against real-world standards, and maintain strict adherence to medical coding frameworks like ICD-10. If you are a certified medical coding professional looking to leverage your expertise outside the traditional clinical or corporate office setting, remote AI evaluation contracts represent one of the most exciting career evolutions available today.

Comprehensive Job Description & Core Responsibilities

The Certified Medical Coder role hosted on Mercor places you at the forefront of healthcare technology development. As part of a specialized multilingual clinical documentation cohort, your primary objective is to review, annotate, and evaluate clinical notes and AI-generated text outputs. Below is a detailed breakdown of what the day-to-day responsibilities entail:

1. Documentation & Coding Review

• Accuracy & Completeness: Thoroughly inspect clinical documentation to guarantee that every diagnostic statement and treatment record meets rigorous clinical accuracy benchmarks.
• AI Output Evaluation: Systematically audit AI-generated clinical notes, summaries, and patient records by comparing them directly against baseline medical documentation and established industry coding rules.
• Code Validation: Confirm that the clinical documentation perfectly aligns with assigned medical codes, verifying that no documentation gaps or logical discrepancies exist.

2. Annotation & Structured Feedback

• Detailed Guidelines Compliance: Apply comprehensive annotation frameworks to label and evaluate clinical text artifacts.
• Error Identification: Actively flag omissions, logical errors, inaccuracies, and documentation gaps within automated or AI-generated outputs.
• Actionable Communication: Deliver structured, clear, and written feedback designed specifically for product engineering and machine learning teams to rapidly iterate and improve model performance.

3. Knowledge Contribution & Guideline Refinement

• Expert Consultation: Offer expert-level insights on complex documentation standards and help shape evolving annotation protocols.
• Clarification & Resolution: Raise targeted clarifying questions when baseline guidance is ambiguous, actively participating in refining instructions for the broader team of evaluators.

Required Qualifications and Candidate Profile

Because this project directly influences clinical tools and models, candidate selection standards are high. To qualify for consideration, applicants must meet the following baseline requirements:

• Active Professional Certification: Must hold at least one active certification among CCDS, CHC, CCS, or CPC.
• ICD-10 Expertise: Hands-on, professional proficiency with ICD-10 coding guidelines and applications.
• Current Industry Experience: Actively working—or recently active—within medical coding, clinical documentation improvement (CDI), or a closely related healthcare documentation environment.
• Geographic Eligibility: Must be based in the United States (US-based).
• Multilingual Proficiency: In addition to fluent English, candidates must demonstrate advanced (C1 or above) proficiency in speaking, listening, and writing in at least one additional language.
• Time Commitment: Availability to commit a minimum of 10 hours per week.

Preferred Qualifications

While the requirements above are strict, candidates possessing the following secondary credentials and experiences will find themselves exceptionally well-positioned during the review process:

• Secondary or advanced certifications such as CRC or CDIP.
• Familiarity with enterprise electronic health record (EHR) platforms, particularly Epic.
• Experience with Hierarchical Condition Category (HCC) coding or risk-adjustment models.
• Prior experience in AI/ML model annotation, prompt engineering evaluation, or content moderation workflows with strong performance feedback.

Compensation, Flexibility, and Contract Terms

One of the most compelling aspects of this opportunity is the combination of top-tier compensation and absolute schedule autonomy. Operating as an independent contractor provides the flexibility to manage your hours around an existing clinical job, consulting business, or personal lifestyle.

Competitive Pay Scale: Contractors for this role earn between $45 and $65 per hour, depending on qualifications, test performance, and project tier. Furthermore, payments are processed swiftly and reliably on a weekly basis via Stripe or Wise.

Work Arrangement: The role is 100% remote with flexible part-time scheduling (minimum 10 hours weekly). Projects may scale up or conclude depending on engineering timelines and performance metrics.

Tips to Complete a Successful Application Process

Because positions bridging specialized clinical skills with AI development are in extremely high demand, thousands of qualified professionals view these listings daily. To ensure your application stands out to the screening panels and makes it successfully through the automated and human review gates, follow these practical steps:

• Double-Check Your Credentials: Ensure your active certification numbers (CPC, CCS, etc.) and professional history are explicitly visible and accurate on your resume or profile.
• Highlight Language Proficiencies: Since this is a specialized multilingual cohort, clearly detail your C1+ fluency level in your secondary language.
• Complete Every Prompt Thoroughly: Do not leave optional fields blank. Provide precise examples of your ICD-10 coding experience and any background in documentation review or technical annotation.
• Submit Promptly: Early applicant pools often receive expedited review cycles. Submitting your profile early increases your chances of securing a spot before project cohorts fill up.

Take charge of your schedule, earn competitive hourly rates, and apply your specialized healthcare expertise to cutting-edge technology. Complete your submission today and embark on your next professional chapter with Mercor.