Entry-Level Remote Medical Coding Jobs

Entry‑level remote medical coding jobs are healthcare operations roles that assign ICD‑10‑CM, CPT, and HCPCS codes to clinical documentation for billing accuracy and audit readiness. On Rex.zone, you can discover remote, contract, freelance, and full‑time openings across hospitals, BPOs, annotation vendors, tech startups, and AI labs. Our platform also features hybrid tracks where coders support NLP/LLM training workflows—clinical named entity recognition, data labeling, annotation guidelines compliance, prompt evaluation, and QA evaluation—to improve model performance and training data quality. Apply to begin a compliant, HIPAA‑aligned career in medical coding while contributing to safe, high‑quality automation in revenue cycle and documentation integrity.

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About the Role

As an entry-level medical coder on Rex.zone, you will review provider notes, assign accurate ICD‑10‑CM, CPT, and HCPCS codes, and support clean claim submission, denial prevention, and audit readiness. Roles span outpatient, inpatient, pro-fee, emergency, surgical, and specialty clinics. Workflows emphasize documentation integrity, coding accuracy, and revenue cycle compliance, with productivity targets measured by charts per hour and error rates. Many positions offer remote onboarding, mentorship, and access to coder communities focused on continuous learning.

Daily Workflows & Tools

You will extract diagnoses, procedures, and modifiers from EHRs and encoder tools, validate LCD/NCD coverage, align DRG/APC assignments, and flag documentation gaps. Core tools may include EHR systems, encoders, claim scrubbers, QA dashboards, and secure communication platforms. In AI collaboration tracks, you may contribute to training data quality by labeling clinical entities, reviewing model outputs, and applying annotation guidelines compliance to improve model performance.

AI/ML Collaboration Tracks

Rex.zone hosts opportunities where medical coders help train healthcare NLP and LLM systems. Optional tasks include data labeling for clinical named entity recognition, prompt evaluation for coding assistance features, QA evaluation of auto-coding suggestions, large language model evaluation for compliance, and feedback cycles akin to RLHF. Radiology and wound care projects may involve computer vision annotation. Content safety labeling can apply to health information quality checks. These roles integrate with LLM training pipelines operated by AI labs, tech startups, and annotation vendors.

Required Skills

Foundational knowledge of ICD‑10‑CM, CPT, and HCPCS; medical terminology and anatomy; HIPAA and compliance awareness; attention to detail; time management; and written communication. Comfort with EHR navigation, encoder workflows, spreadsheets, and remote collaboration tools. Ability to follow coding guidelines (CMS, AMA, payer rules) and meet productivity and accuracy targets. For AI tracks: familiarity with annotation taxonomies, inter-rater reliability, error analysis, and documentation of edge cases.

Preferred Qualifications

CPC‑A, CPC, CCS‑P, CRC, or equivalent credential; completion of a medical coding program or bootcamp; internship or practicum experience; exposure to outpatient/pro-fee coding; understanding of payer policies and denial management; basic statistics for QA reporting. For AI collaboration: experience with data labeling platforms, guideline authoring, or audit workflows is beneficial but not required for entry-level applicants.

Employment Types & Search Modifiers

Explore remote, contract, freelance, part-time, and full-time roles, including entry-level and junior positions with growth to senior coder, auditor, or lead. Domain alignments include NLP, computer vision, content safety, and LLM training for healthcare documentation. Employers range from hospitals and RCM teams to AI labs, tech startups, BPOs, and annotation vendors. Use filters on Rex.zone to find opportunities by specialty, schedule, seniority, and compensation.

Compensation & Benefits

Pay varies by employer, specialty, and region. Entry-level remote medical coding roles commonly offer hourly rates or salaried packages with productivity bonuses. Benefits may include healthcare, PTO, education stipends, certification reimbursement, and flexible schedules. AI collaboration or QA evaluation tracks may provide project-based compensation for labeling, guideline authoring, and model performance audits.

Why Rex.zone

Rex.zone centralizes healthcare coding jobs and AI-assisted workflows, helping candidates find vetted remote employers and skill-aligned projects. Our platform emphasizes compliance, secure operations, and skills verification. Candidates gain access to learning resources, role-based assessments, and career pathways that bridge traditional medical coding with modern AI/ML training pipelines.

How to Apply

Create a profile on Rex.zone, upload your resume and credentials, and complete skills checks (ICD‑10‑CM/CPT basics, HIPAA). Indicate interest in remote, contract, freelance, or full-time roles and optional AI collaboration tracks. Pass a short coding accuracy assessment and, if applicable, an annotation guidelines compliance exercise. Qualified candidates are matched to employers and projects with clear scopes, secure tool access, and onboarding support.

Career Growth

Advance from entry-level coder to senior coder, auditor, or team lead. Diversify into denial management, revenue integrity, clinical documentation improvement, or training data QA. In AI tracks, grow into annotation lead, guideline designer, model evaluation specialist, or healthcare NLP product operations. Rex.zone supports continuous development via learning modules and curated project experience.

Frequently Asked Questions

  • Q: Do I need certification for entry-level remote medical coding roles?

    Certification is preferred (e.g., CPC‑A, CPC, CCS‑P, CRC), but some employers on Rex.zone consider graduates of accredited coding programs or candidates who pass a skills assessment. AI collaboration tracks may not require coding certificates but do require healthcare documentation familiarity and adherence to compliance guidelines.

  • Q: What kinds of employers hire on Rex.zone?

    You’ll find roles from hospitals and RCM teams, BPOs, annotation vendors, AI labs, and tech startups. Positions include traditional coding, QA auditing, and hybrid data labeling projects that support healthcare NLP and LLM training pipelines.

  • Q: How does medical coding connect to AI and LLM training?

    Coders help label clinical entities, review auto-coding suggestions, ensure annotation guidelines compliance, and provide feedback that improves training data quality. This supports model performance improvement and large language model evaluation in healthcare applications.

  • Q: Are these jobs fully remote?

    Most listings on Rex.zone are remote, with options for contract, freelance, and full-time schedules. Some employers may require occasional virtual meetings or secure access setups. All remote roles follow HIPAA and data security protocols.

  • Q: What tools will I use?

    Typical tools include EHR systems, encoders, claim scrubbers, QA dashboards, and secure communications. AI collaboration projects may use data labeling platforms, guideline repositories, and evaluation dashboards for reviewing model outputs.

  • Q: What is the application process on Rex.zone?

    Create a profile, upload credentials, and complete skills checks. You may take a short coding accuracy test and, for AI tracks, an annotation or prompt evaluation exercise. Successful candidates are matched to suitable roles and receive onboarding instructions.

  • Q: Can international applicants apply?

    Yes, many remote roles accept international applicants, though payers and compliance requirements vary by region. Rex.zone listings specify eligibility, language requirements, and any location constraints.

  • Q: Is there training or mentorship?

    Several employers and projects on Rex.zone offer structured training, mentorship, and access to learning resources, especially for entry-level candidates transitioning into professional coding or AI/ML support roles.

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