Nurse Annotator (Prior Auth) Remote in US

UnitedHealth Group•Atlanta, GA

10d•$29 - $52•Remote

About The Position

The Registered Nurse Clinical Annotator plays a critical role in supporting the development of artificial intelligence models designed to streamline and automate prior authorization processes in healthcare. This position leverages clinical expertise to interpret, annotate, and validate medical documentation, ensuring that AI systems are trained on accurate, contextually relevant, and policy-compliant data. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Requirements

Active, unrestricted RN license
3+ years of recent clinical experience in acute care, utilization management, or a related clinical specialty
Experience applying guideline based criteria (e.g., InterQual, MCG) in clinical review or UM workflows
Solid understanding of clinical documentation, medical terminology, and evidence-based practice
Familiarity with HIPAA requirements, data privacy standards, and safe handling of patient information
Proficiency with electronic medical records (EMR) and comfort navigating multiple clinical systems
Proven ability to interpret medical records and determine clinical appropriateness using structured criteria
Demonstrated experience performing payer-based clinical prior authorization reviews and medical necessity determinations for outpatient and inpatient procedures, advanced imaging, DME, specialty medications, infusion therapies, and other pre-service requests in accordance with health plan policy and evidence-based clinical criteria. Experience limited to provider-side authorizations, concurrent inpatient review, post-acute review, or discharge planning alone is not sufficient
Proven ability to work independently while maintaining productivity, quality, and adherence to annotation guidelines

Nice To Haves

BSN
Experience collaborating with cross functional teams (clinical, data science, operations)
Experience with data labeling, clinical data annotation, or AI/ML workflows
Proven high level of accuracy, attention to detail, and commitment to consistent, high quality annotations
Proven solid analytical thinking, clinical reasoning, and ability to identify gaps or inconsistencies in documentation
Proven effective written communication skills, with the ability to clearly document annotation decisions and rationales
Proven curiosity and willingness to learn emerging technologies, AI supported workflows, and evolving guidelines

Responsibilities

Review medical records and interpret clinical documentation with accuracy and clinical judgment
Apply guideline-based criteria to annotate, categorize, and label case data used for AI model training
Ensure annotations are clinically sound, consistent, and aligned with established utilization management (UM) guidelines
Contribute to the development of high quality training datasets that support safe and effective AI model performance
Identify gaps, ambiguities, or inconsistencies in documentation and escalate issues as needed
Participate in refinement and continuous improvement of annotation guidelines, clinical rules, and workflows
Collaborate with cross functional teams including data science, clinical operations, and product teams to ensure clinical accuracy and operational relevance of labeled data
Support testing, validation, and quality review activities for AI supported UM tools and workflows
Maintain detailed documentation of annotation decisions, rationales, and guideline interpretations
Uphold clinical, ethical, and regulatory standards in all aspects of data handling, patient information, and annotation workflows