Online medical coding jobs are remote roles where certified coders convert clinical documentation into ICD-10-CM, CPT, and HCPCS codes. On Rex.zone, these openings connect traditional revenue-cycle work with AI/ML training workflows: annotating EHR notes for named entity recognition, validating LLM outputs with RLHF-style feedback, running QA evaluation to improve training data quality, and supporting large language model evaluation in healthcare NLP. Apply for contract, freelance, or full-time roles with AI labs, tech startups, BPOs, and annotation vendors. If you’re detail-oriented and HIPAA-savvy, you’ll help deliver accurate reimbursement while boosting model performance and ensuring annotation guidelines compliance across diverse projects.
You will review clinical documentation and assign ICD-10-CM, CPT, and HCPCS Level II codes, map entities to SNOMED CT/LOINC when required, and collaborate with data teams to label, audit, and validate healthcare datasets. Work spans revenue cycle management, HCC risk adjustment, E/M leveling, and AI-assisted workflows that improve training data quality for healthcare NLP, named entity recognition, and large language model evaluation.
Abstract diagnoses and procedures; ensure medical necessity and payer compliance; perform audit-ready documentation; execute QA evaluation and annotation guidelines compliance; provide RLHF-style prompt evaluation on LLM outputs; contribute to error analysis and model performance improvement; protect PHI under HIPAA; collaborate with cross-functional teams in AI labs, tech startups, BPOs, and annotation vendors.
Certification such as CPC, CCS, CRC, RHIT or equivalent; mastery of ICD-10-CM, CPT/HCPCS, E/M, DRG, and HCC risk adjustment; strong medical terminology and anatomy; experience with encoders (3M 360, Optum) and EHRs (Epic, Cerner); high accuracy, detail orientation, and familiarity with HIPAA. Comfort with healthcare NLP concepts, named entity recognition, annotation tools, and structured guidelines is preferred.
Background in healthcare data labeling for NLP; exposure to LLM training pipelines, RLHF feedback collection, prompt evaluation, and content safety labeling (PHI redaction); familiarity with annotation platforms (Label Studio, Prodigy) and computer vision annotation of radiology metadata; demonstrated success in audit defense, CDI collaboration, and analytics-driven quality improvement.
Remote, hybrid, and on-site; contract, freelance, and full-time; entry-level and senior tracks. Domain exposure includes NLP, computer vision, content safety, and LLM training. Employer types include AI labs, tech startups, BPOs, and annotation vendors. Roles emphasize training data quality, annotation guidelines compliance, large language model evaluation, and model performance improvement.
Competitive pay based on certification, domain expertise, and project complexity. Contract and freelance rates typically hourly; full-time roles include benefits where applicable. Compensation may vary by geography and employer type (AI labs, startups, BPOs, annotation vendors).
Work with EHRs (Epic, Cerner), medical encoders (3M 360, Optum), and annotation tools (Label Studio, Prodigy). Use secure, HIPAA-compliant environments; versioned guidelines; QA dashboards; and collaboration platforms used by Rex.zone partners to ensure consistent, auditable outputs.
Advance to senior coder, QA lead, CDI specialist, training data curator, or LLM evaluation specialist. Contribute to guideline design, audit frameworks, and healthcare AI initiatives while strengthening coding accuracy and domain-specific NLP expertise.
Create your profile on Rex.zone, list certifications and domains (E/M, HCC, surgical CPT), complete a short skills check and an annotation QA challenge, agree to HIPAA and security policies, and match with remote, contract, freelance, and full-time opportunities across AI labs, tech startups, BPOs, and annotation vendors.
Rex.zone centralizes healthcare coding and AI data labeling work, aligning revenue cycle tasks with modern AI/ML pipelines. Build in-demand skills, access vetted projects, and help improve real-world clinical NLP systems with rigorous training data quality and guideline-compliant outputs.
It’s a remote role where certified coders assign ICD-10-CM, CPT, and HCPCS codes to clinical documentation while supporting AI/ML workflows—NER labeling, QA evaluation, prompt evaluation, and RLHF-style feedback for healthcare LLMs—across projects from AI labs, tech startups, BPOs, and annotation vendors.
CPC, CCS, CRC, RHIT, or equivalent. Strong knowledge of ICD-10-CM, CPT/HCPCS, E/M, DRG, and HCC is essential. Experience with CDI, payer audits, and HIPAA compliance is highly valued.
Yes. Most roles are remote with secure, HIPAA-compliant workflows. Some projects are hybrid or on-site. Opportunities include contract, freelance, and full-time positions across entry-level and senior levels.
Coders improve training data quality by labeling entities in clinical notes, validating LLM outputs via RLHF-style feedback, running QA evaluation, and contributing to large language model evaluation for healthcare NLP and content safety.
E/M leveling, surgical CPT assignment, HCC risk adjustment, audit support, PHI redaction and content safety labeling, NLP dataset annotation, and radiology metadata mapping for computer vision-linked workflows.
Profile and certification review, accuracy benchmarks, short coding and annotation tests, guideline comprehension, HIPAA readiness, and past audit outcomes. We assess annotation guidelines compliance and potential to drive model performance improvement.
Common tools include Epic or Cerner, 3M 360 or Optum encoders, and annotation platforms like Label Studio or Prodigy. Secure repositories and QA dashboards support consistent, auditable output.
Create a profile on Rex.zone, upload certifications, note domain strengths (E/M, HCC, surgical CPT), complete the skills and QA tasks, and opt into remote, contract, freelance, or full-time opportunities.
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