Clinical AI Data Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Annotate medical records to generate training data for AI systems.

• Validate the annotated data to maintain high-quality standards.

• Enhance the clinical logic that underpins AI-generated outputs.

• Offer subject-matter expertise in clinical coding and Health Information Management (HIM) to the data science team.

• Review and interpret clinical documentation—including physician notes, assessment and plan sections, problem lists, and medication records—to pinpoint codeable diagnoses, conditions, and other clinical entities (document boundaries, type, author, section), utilizing ICD-10-CM and risk adjustment coding standards, as well as mapping to clinical ontologies (ICD-10-CM/PCS, CPT, RxNorm) as dictated by project requirements.

• Differentiate between conditions that fulfill documentation standards for coding and those that do not, using independent clinical judgment, and document any ambiguous or edge-case documentation with a written rationale.

• Examine AI model output labels in relation to clinical documentation to detect false positives, false negatives, and specificity errors; clean and amend label datasets while categorizing error patterns for the data science team.

• Utilize coding knowledge to assess whether model-generated code assignments are clinically and regulatory compliant, and report systematic quality issues that could signify model behavior concerns.

• Convert ICD-10-CM and coding guideline requirements into clear, testable instructions—LLM prompt language and computable coding rules—employing AI-assisted tools to test revisions against curated ground-truth datasets and iterating based on identified failures.

• Record the clinical rationale and the impact on precision and recall for each prompt or rule modification for senior review.

⛳️ Requirements

• Domain expertise with at least 5 years of coding and/or Clinical Documentation Improvement (CDI) experience, showcasing proficiency in ICD-10-CM code assignment derived from clinical documentation.

• Possession of an active credential in at least one of the following: CCS, CPC, CRC, CDIP, CCDS, or an equivalent AHIMA/AAPC certification.

• Capability to consistently and independently apply clinical coding standards to produce high-quality, reproducible labels across extensive document sets, identifying subtle distinctions that influence code assignments.

• Ability to clearly articulate the clinical rationale for labeling decisions in writing for quality assurance and auditing purposes, and to present coding requirements as clear, unambiguous instructions—reflecting the discipline necessary for crafting well-structured coding queries.

• Function independently within established guidelines without needing case-by-case direction on routine annotation, while escalating systematic issues—such as recurring error patterns, guideline gaps, and trends in documentation quality—rather than attempting to resolve them in isolation.

🏝️ Benefits

• Comprehensive health, dental, and vision coverage.

• Paid time off (PTO) plan, providing X days annually, plus holidays.

• Retirement savings plan.

• Flexible work arrangements.

• Opportunities for professional growth and development.

• Employee wellness programs.