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Clinical Annotation Jobs (NOW HIRING)

$35 - $55/hr

Review clinical documentation for coding accuracy and completeness * Evaluate whether assigned ... Apply annotation criteria consistently across assignments * Categorise documentation and coding ...

Work collaboratively within the clinical annotation team to maintain consistency in data extraction approaches and ensure delivery commitments are met for all research partners. * Demonstrate ...

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Clinical Annotation information

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$14

$34

$90

How much do clinical annotation jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for clinical annotation in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.

What is clinical annotation?

Clinical annotation is the process of labeling and adding relevant medical information to clinical data, such as patient records, images, or genetic information, to provide context and meaning. This process helps researchers and healthcare professionals interpret and analyze data more effectively, supporting advancements in diagnostics, treatment, and medical research. Clinical annotation is essential for developing machine learning models in healthcare and ensuring data quality in clinical studies.

What are the key skills and qualifications needed to thrive as a clinical annotation specialist, and why are they important?

To thrive as a Clinical Annotation Specialist, you need a background in life sciences or healthcare, knowledge of medical terminology, and attention to detail, often supported by a relevant degree or certification. Familiarity with annotation platforms, EHR systems, and coding standards like ICD or SNOMED CT is typically required. Strong analytical thinking, communication, and collaboration skills help ensure accuracy and efficiency in interpreting and labeling clinical data. These competencies are crucial for producing high-quality annotated datasets that support medical research, AI development, and improved patient care.

What are some common challenges faced by professionals in clinical annotation roles, and how can they be addressed?

Professionals in Clinical Annotation often encounter challenges such as interpreting complex medical terminology, maintaining accuracy while managing large volumes of data, and keeping up with evolving clinical guidelines. To address these challenges, it's important to stay current with medical literature, participate in regular training, and collaborate closely with clinical experts and data scientists. Utilizing standardized annotation tools and clear protocols can also help ensure consistency and quality in the annotation process.

What is the difference between Clinical Annotation vs Clinical Data Analyst?

AspectClinical AnnotationClinical Data Analyst
Required CredentialsTypically requires life sciences or healthcare background, often with certifications in clinical research or data managementRequires degrees in statistics, data science, or related fields; certifications in data analysis tools are common
Work EnvironmentWorks primarily in research settings, hospitals, or biotech companies, focusing on annotating clinical dataWorks in healthcare, research, or pharmaceutical companies analyzing clinical data sets
Employer & Industry UsageUsed in clinical research, drug development, and medical data curationUsed across healthcare, research, and pharmaceutical industries for data analysis and reporting

While both roles involve working with clinical data, Clinical Annotation focuses on labeling and curating data for accuracy, whereas Clinical Data Analysts interpret and analyze data to generate insights. Both roles are essential in clinical research but serve different functions within the data lifecycle.

Infographic showing various Clinical Annotation job openings in the United States as of September 2026, with employment types broken down into 3% As Needed, 74% Full Time, 16% Part Time, and 7% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.

National Medical Director, Clinical AI Innovation and Performance - Remote

Minnetonka, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$81K - $111K/yr

Full-time

Retirement

Re-posted 3 hours ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together

UnitedHealthcare is leveraging AI, real-time data and a modern platform to modernize clinical programs - starting with Utilization Management.  The Medical Director, Clinical AI Innovation and Performance is a senior physician leader responsible for the clinical AI model training, testing and surveillance.  Work will initially focus on utilization management (UM) clinical criteria-leveraging InterQual, UHC custom specialty content and other evidence-based criteria. The MD will establish efficient and consistent annotation, training and testing models to ensure medical policies are accurately interpreted, evidence based, consistently applied, and operationally effective,  

This role serves as the clinical authority for guideline interpretation, clarification, and enhancement, ensuring that approved medical policy and supporting evidence are translated into UM clinical criteria that enable appropriate coverage decisions, support safe and effective care, and scale across enterprise operations.  The initial focus will be on Prior Authorization and will expand to include Inpatient Level of Care.  Clinical Care Management and Comprehensive Medication Management.

The clinical annotation, training and testing team will report to this physician.  The MD will be the primary clinical relationship to Foundation model clinical teams (Antrhopic, OpenAI, Gemini).   The CMO will work closely with the CMO Medical Policy, the CMO Value Creation, the CMO of Medical Management and the MD, Data Science.  MD will also be a key member of the UCS clinical and AI leadership team, collaborating on clinical program design, data models, AI use and modernization.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • InterQual Expertise, Interpretation & Guideline Enhancement
    • Maintain deep expertise in InterQual criteria, evidence framework, and decision logic
    • Ensure consistent, accurate interpretation of InterQual criteria across:
      • Services, settings, and levels of care
      • Reviewer types and UM workflows
    • Lead guideline clarification, customization, and enhancement where needed to:
      • Improve clinical clarity and consistency
      • Address operational ambiguity or recurring edge cases
      • Enhance the ability to ensure care is safe and effective
    • Develop and approve evidence based enhancements or supplemental criteria that add clinical clarity while remaining aligned with approved medical policy
    • Work closely with leaders in Medical Policy and evidence teams to ensure:
      • Alignment with policy intent
      • Clear translation of policy into UM ready clinical criteria
  • Evidence Based UM Clinical Criteria
    • Ensure UM clinical criteria are:
      • Explicitly grounded in clinical evidence and accepted guidelines
      • Structured for consistent application at scale
      • Clear and actionable for nurses, physician reviewers, and AI enabled workflows
    • Apply senior clinical judgment in situations where:
      • Evidence is evolving or limited
      • Criteria require interpretation to ensure appropriate coverage decisions
    • Promote consistent clinical standards across UM operations while recognizing the need for appropriate clinical flexibility
  • UM Operations & Coverage Interpretation Leadership
    • Ensure UM criteria function effectively in production environments:
      • Supporting timely and appropriate coverage decisions
      • Reducing unwarranted variation across reviewers
      • Aligning clinical interpretation with operational reality
    • Partner closely with UM Operations and Nursing leadership to:
      • Identify areas of confusion or friction in criteria application
      • Address recurring themes from operational feedback
      • Improve reviewer confidence and consistency
  • Clinical Annotation & LLM Training for UM
    • Lead teams responsible for clinical annotation and analysis supporting LLM based UM decision support
    • Oversee the clinical review process that ensures:
      • Accurate interpretation of UM criteria by LLMs
      • Reliable assessment of whether clinical documentation meets criteria
    • Provide clinical oversight and judgment where:
      • Annotator disagreement exists
      • Criteria vary in complexity or trainability
      • Additional training data or clarification is required
    • Ensure annotation and training processes support clinically accurate, reliable model performance
  • AI Lifecycle Participation & Governance (UCS Led)
    • Serve as a senior physician leader within UCS led AI governance, under the authority of the UHC CMO
    • Participate in reviews across AI lifecycle phases:
      • Training and validation
      • Shadow mode
      • AI assist (clinical in the loop)
      • Production deployment
    • Contribute clinical judgment to evaluations of:
      • Precision and recall
      • Clinical accuracy and safety
      • Readiness for use in automated approvals
    • Identify areas where additional training, refinement, or safeguards are required
  • Cross Functional Clinical Leadership & Continuous Improvement
    • Directly manage:
      • Clinical annotators
      • Clinical or UM analysts supporting AI enablement and criteria oversight
    • Work closely with:
      • Medical Policy leadership
      • CARES team conducting rigorous UM case review and quality evaluation
      • UM Operations and Appeals
      • Product, ECS, and AI / data science teams
    • Ensure insights from production, appeals, audits, and quality reviews inform:
      • Guideline clarification and enhancement
      • Reviewer guidance
      • Ongoing improvement of AI model performance and safety

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • MD or DO with active/unrestricted U.S. Medical Licensure
  • Board certification in an ABMS/AOBMS Clinical specialty
  • Significant experience in:
  • Utilization management
  • Coverage interpretation using UM clinical criteria
  • Clinical operations in large, complex organizations
  • Demonstrated experience working with InterQual clinical criteria
  • Experience with UM physicians and nursing teams at scale
  • Proven ability to lead through influence across clinical, operational, and technical teams

Preferred Qualifications:

  • Experience across Commercial and/or Government program UM
  • Experience working with MCG guidelines
  • Proven direct responsibility for UM operations leadership
  • Proven exposure to AI enabled clinical workflows or advanced decision support (technical expertise not required)

Leadership Profile (Senior Leadership Team Level)

  • Recognized clinical authority with strong peer credibility
  • Demonstrated judgment in complex or ambiguous clinical scenarios
  • Able to operate at enterprise scale while maintaining clinical rigor
  • Comfortable providing clinical guidance on AI use in high impact workflows
  • Trusted advisor to executive leadership across UCS and UHC

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $386,500 - $579,500 annually based on full-time employment. We comply with all minimum wage laws as applicable."

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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