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Clinical Annotation Jobs (NOW HIRING)

You will provide medical and scientific oversight for dataset curation, annotation strategy, and algorithm evaluation, ensuring that our products are clinically robust and aligned with real-world ...

The Lister Hill National Center for Biomedical Communications (LHNCBC)'s Applied Clinical ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

The Lister Hill National Center for Biomedical Communications (LHNCBC)'s Applied Clinical ... Experience in content development and/or text annotation (e.g., annotation of certain types of ...

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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 Jul 8, 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 does an annotation job do?

A clinical annotation job involves reviewing and labeling medical data, such as patient records or imaging, to ensure accurate and consistent information for research and development. Annotators typically use specialized tools and must follow strict guidelines to support machine learning models and clinical studies.

What is a clinical annotator?

A clinical annotator is a professional who reviews and labels medical data, such as electronic health records or medical images, to help train machine learning algorithms for healthcare applications. This role requires attention to detail, knowledge of medical terminology, and often involves using specialized annotation tools. Accurate annotations are essential for developing reliable clinical AI systems.

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.

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 is a medical annotation?

A medical annotation involves adding detailed labels or notes to medical data, such as images, clinical notes, or electronic health records, to identify specific features or conditions. Clinical annotators use specialized tools and follow guidelines to ensure accuracy, supporting machine learning models and medical research.

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.

How much do annotators get paid?

Clinical annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer fixed project-based pay or part-time schedules, often requiring attention to detail and familiarity with medical terminology.
Lead Cytopathologist

Lead Cytopathologist

Intuitive

San Carlos, CA

Full-time

Posted 22 days ago


Job description

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion-have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.

Job Description

Primary Function:

As a Lead Cytopathologist, you will serve as a medical and scientific expert in the development of algorithmic pathology solutions.  You will provide medical and scientific oversight for dataset curation, annotation strategy, and algorithm evaluation, ensuring that our products are clinically robust and aligned with real-world pathology practice.  You will also help manage and train annotator teams to ensure quality, consistency, and scalability of labeled datasets.  This role requires a board-certified pathologist with a deep understanding of cytopathology, rapid on site evaluation, and pathology workflows. Ability to work at our San Carlos, CA office is strongly preferred.

Responsibilities:

  • Provide expert pathology guidance across product development initiatives

  • Work with a team of consultant pathologists to support annotation, validation, and research activities

  • Evaluate and annotate pathology images and data

  • Oversee pathology data quality, consistency, and interpretability across diverse datasets

  • Guide algorithm validation, ground truth curation, and performance evaluation from a clinical perspective

  • Contribute to product development roadmaps and clinical validation studies

  • Participate in scientific research, publications, and presentations

  • Represent pathology and clinical interests in cross-functional discussions

Qualifications

Required Qualifications:

  • Minimum Education: MD / DO, Board certification in pathology and fellowship training in cytopathology

  • 5+ years of experience in clinical cytopathology and ROSE

  • Strong understanding of pathology workflows, sample preparation, and diagnostic criteria

  • Familiarity with digital pathology and ability to adapt to and learn new digital workflows

  • Excellent communication skills, with the ability to translate clinical insight into actionable guidance for non-clinical and technical teams

Preferred Qualifications:

  • Prior experience in medical imaging annotation and digital pathology

  • Involvement in research or validation of AI-based pathology tools

  • Prior experience in diagnostics or healthcare technology

  • Publications or presentations in computational pathology or AI applications

  • Familiarity with ML/AI workflows and dataset curation

  • Experience with regulatory frameworks for medical data (FDA, CE, HIPAA)

  • Up to 20% travel

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR 743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employeeswho are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government's licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan ("TCP") (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee'sstart date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate's experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate's qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.