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Clinical Annotation Jobs (NOW HIRING)

Datavant

Clinical AI Data Specialist

The technical work - annotation at scale, prompt and rule iteration, and label-quality analysis - is carried out using AI-assisted development tools; we will train the right clinical coding expert on ...

Datavant

Clinical AI Data Specialist

New York, NY

The technical work -- annotation at scale, prompt and rule iteration, and label-quality analysis -- is carried out using AI-assisted development tools; we will train the right clinical coding expert ...

Pelago

Director, Clinical AI

New York, NY · Hybrid

$87K - $119K/yr

Work closely with product, design, and engineering teams to provide clinical annotation, structured feedback, and ongoing quality review of AI products. * Serve as the clinical voice in product ...

Pelago

Director, Clinical AI

New York, NY · On-site

$87K - $119K/yr

Work closely with product, design, and engineering teams to provide clinical annotation, structured feedback, and ongoing quality review of AI products. * Serve as the clinical voice in product ...

Ohio State University

Manage daily ION operations in accordance with NCI/NCTN best practices, including SOP development, biospecimen procurement, banking, characterization, and clinical annotation. Optimize workflows and ...

Vital Connect Inc

Senior EKG Analyst

CA · Remote

$27 - $30/hr

In this role, you will be responsible for advanced EKG rhythm interpretation, annotation, and quality-focused analysis of cardiac data to support algorithm development, clinical initiatives, and ...

Ottobock

Clinical Assistant

Atlanta, GA · On-site

Perform outcomes measures, medical history documentation and clinical notes annotation support for clinical staff. * Pour casts and use tools to make adjustments/modifications to prosthetic test ...

Ottobock

Clinical Assistant

Atlanta, GA · On-site

Perform outcomes measures, medical history documentation and clinical notes annotation support for clinical staff. * Pour casts and use tools to make adjustments/modifications to prosthetic test ...

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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 7, 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.

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

NUC S.A.I.

New York, NY • On-site, Remote

Contractor

Re-posted 16 days ago

Job description

About Us
Nucs AI is a pioneering MedTech startup focused on transforming prostate cancer care through advanced AI-driven software solutions. Our mission is to deliver personalized treatment options that enhance patient outcomes and streamline clinical workflows. We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking results in patient care.
Role Overview
Nucs AI is entering a significant phase of growth as we expand our capabilities across nuclear molecular imaging and broaden the clinical applications of our AI-driven products. As we scale, we are strengthening our clinical annotation and validation efforts to ensure our models remain accurate, relevant, and tightly aligned with real-world oncology care. To support this expansion, we are seeking an experienced Physician Annotator to play a critical role in the development and continuous improvement of our clinical AI solutions.
This role combines hands-on nuclear medicine imaging study review, structured clinical annotation, and thoughtful product feedback to ensure AI models are clinically accurate, reliable, and aligned with real-world care delivery. The Physician Annotator will serve as a key bridge between clinical practice, data science, and product teams - bringing practical expertise to annotation standards, model validation, workflow evaluation, and performance refinement.
As part of a fast-moving, clinically grounded AI team, you will directly contribute to how advanced imaging technologies are translated into trusted tools that support physician decision-making and improve cancer care delivery at scale.
Key Responsibilities
Clinical Expertise
  • As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases.
  • Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior
  • Participate in applied clinical AI research, including hypothesis development and evaluation of model performance.
  • Assist in generating research insights that may inform internal studies, publications, or regulatory documentation

Clinical Annotation & Validation
  • Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement. Clinical review tasks include review of studies with and without AI assistance for identification and delineation of areas of interest on a variety of nuclear medicine images (e.g., FDG, PSMA-PET/CT, SPECT) with precision and accuracy.
  • Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases.
  • Review model errors and edge cases; provide structured clinical insights to improve performance.
  • Advise on clinically meaningful metrics, thresholds, and evaluation criteria.

Strategic product feedback
  • Provide concise, actionable clinical feedback on product features and workflows.
  • Advise product teams on feature prioritization based on clinical impact, risk, and feasibility.
  • Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models.
  • Evaluate usability and workflow integration from a clinician's perspective.

Cross-Functional Collaboration
  • Collaborate asynchronously with clinical, product, and data science teams.
  • Serve as a part-time clinical advisor supporting rapid iteration and informed decision-making.

Why Join Nucs AI
  • Work at the frontier of clinical AI: Help advance next-generation oncology tools in nuclear molecular imaging.
  • Have real clinical influence: Your work and feedback directly shape model performance, product behavior, and clinical reliability.
  • High scientific rigor: Contribute to clinically grounded development with a strong focus on safety, accuracy, and real-world validity.
  • Collaborate with a high-caliber team: Work closely with clinicians, engineers, and data scientists who move fast and value clarity.
  • Flexible by design: Part-time, contract, and fully remote with flexible hours (location restrictions may apply).
  • Mission that matters: Help improve how cancer care is delivered - at scale, and with real patient impact.

Required Qualifications
  • ABR/ABNM Board certified physician with minimum 3 or more years of experience in Nuclear Medicine (or Diagnostic Radiology with subspecialty certification in Nuclear Medicine).
  • Active, unrestricted medical license in the US.
  • Possesses demonstrated expertise in interpreting PET imaging for radioligand tracers such as FDG, PSMA, and SSTR, and in radioligand therapies.
  • Exceptional attention to detail and a commitment to producing high-quality work.

Preferred Experience
  • Prior experience with healthcare AI, digital health, or clinical informatics.
  • Experience with data annotation, clinical validation, or quality review.
  • Familiarity with ML concepts, model evaluation, or human-in-the-loop systems.
  • Experience advising on product strategy or clinical product development.

Apply