
Certified Medical Coder (ICD-10) — Multilingual Clinical Documentation & AI Evaluation
Listing checked September 3, 2026 · pay as published by Mercor
Overview
You'll join a distributed team evaluating clinical documentation and AI-generated notes for accuracy, completeness, and coding integrity. Using your ICD-10 skills, you'll check whether AI summaries align with source records and flag documentation gaps. You'll also work in a multilingual cohort, so you need to read, write, and speak a second language at C1 or above. Your feedback will help refine the annotation guidelines that guide these AI tools. This part-time, remote role offers flexible hours but requires at least 10 hours per week.
What You'll Do8
- 1Review clinical records for coding accuracy and completeness, ensuring every documented detail is captured.
- 2Evaluate AI-generated encounter notes against real-world documentation standards, spotting discrepancies.
- 3Validate that assigned ICD-10 codes match the clinical record and that the documentation supports each code.
- 4Annotate clinical text according to detailed guidelines, flagging omissions, inaccuracies, or ambiguities.
- 5Write structured feedback for engineering and product teams that describes issues and suggests corrections.
- 6Identify recurring gaps in AI output and propose updates to annotation guidelines to address them.
- 7Raise clarifying questions when the guidelines leave room for interpretation, helping to refine the rubric.
- 8Share your expertise on coding standards to help improve the overall quality of the AI system.
Requirements6
- 1Current, active certification in at least one of: CCS, CPC, CHC, or CCDS.
- 2Demonstrated experience using ICD-10 codes in a clinical setting.
- 3Currently working as a medical coder, in clinical documentation improvement, or in a similar documentation role.
- 4Based in the United States.
- 5Advanced C1 proficiency in English and at least one other language across speaking, listening, and writing.
- 6Ability to commit a minimum of 10 hours per week to this contract.
Who Should Apply
You are a certified medical coder with current credentials like CCS or CPC, and you're already applying ICD-10 in your work. You're comfortable with clinical documentation systems and you're used to catching gaps in records. You speak a second language at C1 or above, which is essential because this is a multilingual cohort. If you're not certified, not currently in a coding or CDI role, or you don't have the language proficiency, this position likely won't be a good fit. Many applicants get turned away for missing an active certification or for overstating their language ability, so be precise on those points.
Salary Insight
The pay range is $45 to $65 per hour, billed for the time you work. That rate sits well above the typical $25 to $35 seen for remote medical coders, reflecting both your certification and the added language requirement. Your experience level and the languages you bring will determine where in that range you land.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
$45–$65/hr
Most AI Training roles pay $38–$96 per hour. This role's pay falls inside that range.
Based on 964 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,095
- Listed in last 30 days
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Hiring most right now: micro1 (295) · SME Careers (253) · Handshake AI (132)
Most requested skills · share of roles
- ai training15%
- ai evaluation13%
- llm evaluation12%
- data annotation10%
Figures from AI Training roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$45–65/hr
Required Skills
Application Tip
In your cover letter, list the exact certifications you hold, like CPC or CCS, and name your second language with its proficiency level right away. If you have experience with Epic or any AI model evaluation, give one concrete example of how you spotted and reported a documentation error that mattered.
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