Medical Coder / CDI Specialist (AI Clinical Evaluation)

Gramian Consulting Group; United States; Remote; USD 55,000 - 117,000; Part time

Job summary

Gramian Consultancy is seeking an experienced Medical Coder / CDI Specialist to contribute to an AI training and evaluation project. The role focuses on coding accuracy, documentation quality, medical necessity, and revenue-cycle reasoning, with responsibilities including creating gold-standard answers and evaluation rubrics.

The engagement is a contractor assignment for 12 weeks, offering either part-time or full-time hours (20-40h/week) and remote work within the USA.

Qualifications

• 3+ years of professional medical coding or CDI experience.
• Current CCS, CPC, CDIP, CCDS or equivalent certification.
• Strong knowledge of ICD-10-CM/PCS and coding guidelines.
• Experience reviewing complex medical records and documentation.
• Excellent written English with ability to justify coding decisions.

Responsibilities

• Develop medical coding and CDI cases and benchmark tasks.
• Review inpatient or outpatient records, diagnoses, procedures, and documentation.
• Evaluate AI-generated outputs for coding accuracy and compliance.
• Identify documentation gaps and create gold-standard answers.
• Apply structured rubrics to evaluate coding quality and regulatory alignment.
• Participate in calibration, peer review, and content refinement.

Skills

Medical coding

Clinical Documentation Improvement

Documentation review

Strong written English

Education

CCS

CPC

CDIP

CCDS

Job description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for an experienced Medical Coder / Clinical Documentation Integrity (CDI) Specialist to contribute to an AI training and evaluation project focused on coding accuracy, documentation quality, medical necessity, clinical validation, and revenue-cycle reasoning.

The role involves creating and reviewing complex coding and CDI cases, longitudinal chart scenarios, gold-standard answers, and evaluation rubrics. You will assess whether outputs reflect correct code assignment, complete and compliant documentation, appropriate clinical validation, and sound interpretation of medical records.

CONTRACT: Contractor assignment, 12 weeks

COMMITMENT: Part-time or Full-time (20-40h/week)

LOCATIONS: Remote - USA

PROCESS: The selection will be made based on an online questionnaire and resume/education/certification

Key Responsibilities

• Develop realistic medical coding and CDI cases and benchmark tasks.
• Review inpatient or outpatient medical records, diagnoses, procedures, clinical indicators, and provider documentation.
• Evaluate AI-generated outputs for coding accuracy, documentation integrity, medical necessity, and compliance.
• Identify incomplete, conflicting, unsupported, or ambiguous documentation.
• Create gold-standard answers and defensible reference solutions.
• Review diagnosis and procedure coding using applicable coding conventions and guidelines.
• Assess principal diagnosis, secondary diagnoses, sequencing, specificity, and clinical validation where relevant.
• Review documentation for query opportunities and identify missing or insufficient clinical support.
• Apply structured rubrics to evaluate coding, terminology, documentation quality, and regulatory alignment.
• Participate in calibration, peer review, and iterative refinement of coding and CDI content.

• Approximately 3+ years of professional medical coding, CDI, or related revenue-cycle experience.
• Current or recent professional practice within the last 3 years.
• Active or current recognized certification such as CCS, CPC, CDIP, CCDS, or equivalent.
• Strong knowledge of ICD-10-CM and/or ICD-10-PCS and applicable coding guidelines.
• Strong experience reviewing complex medical records and clinical documentation.
• Ability to identify coding errors, documentation gaps, unsupported diagnoses, and compliance risks.
• Strong understanding of coding accuracy, medical necessity, and clinical validation.
• Strong written English and ability to clearly explain coding or documentation decisions.