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Medical Image Annotation Pathology Jobs (NOW HIRING)

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Metova Federal

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Lancesoft INC

Pathologist

Tucson, AZ · Remote

$80 - $90/hr

... surgical pathology --Experience in IHC-supervised annotation for tumor identification The ... quantitative image analysis --Ensure compliance with laboratory and medical regulations ...

Baylor College of Medicine

Intern/Aide

Houston, TX

$14.25 - $18.50/hr

Applies introductory scientific data analysis and image annotation techniques. * Learns to organize ... Helps aide medical students with research projects. * Attends monthly research meetings with ...

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Medical Image Annotation Pathology information

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How much do medical image annotation pathology jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for medical image annotation pathology in the United States is $40.53, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Medical Image Annotation Pathology vs Medical Image Annotation Radiology?

AspectMedical Image Annotation PathologyMedical Image Annotation Radiology
Required CredentialsMedical training, pathology certificationsRadiology certifications, radiologic technologist credentials
Work EnvironmentPathology labs, hospitals, research centersRadiology departments, hospitals, imaging centers
Industry UsagePathology and diagnostic labsMedical imaging and diagnostic radiology
Common Search/ComparisonMedical Image Annotation Pathology vs Medical Image Annotation Radiology

Medical Image Annotation Pathology focuses on annotating images related to tissue samples and cellular structures, often requiring pathology expertise. In contrast, Medical Image Annotation Radiology involves annotating imaging modalities like X-rays, MRIs, and CT scans, requiring radiology-specific knowledge. Both roles are essential in medical diagnostics but differ in their focus, environment, and required credentials.

What is medical image annotation in pathology?

Medical image annotation in pathology involves labeling and marking specific features, structures, or abnormalities in digital pathology images, such as tissue slides. This process helps train artificial intelligence (AI) and machine learning models to recognize patterns, detect diseases, and assist pathologists in diagnosis. Accurate annotation is crucial for developing reliable AI tools that can support clinical decision-making and improve patient outcomes. Annotators often work closely with pathologists to ensure high-quality data and clinically relevant results.

What are the key skills and qualifications needed to thrive as a Medical Image Annotation Pathologist, and why are they important?

To thrive as a Medical Image Annotation Pathologist, you need a strong background in pathology, medical imaging, and detailed knowledge of disease processes, typically supported by a medical degree and pathology board certification. Familiarity with digital pathology platforms, annotation software, and image analysis tools is essential. Attention to detail, analytical thinking, and effective collaboration skills help ensure accurate data labeling and integration with research or AI development teams. These competencies are crucial for producing high-quality annotated data, which drives advancements in diagnostics, research, and medical AI solutions.

What are some common challenges faced in Medical Image Annotation Pathology, and how are they typically addressed?

Medical Image Annotation Pathology professionals often face the challenge of ensuring high accuracy and consistency when labeling complex pathology images, as misannotations can impact research and clinical outcomes. This is addressed through rigorous training, regular quality assurance checks, and collaboration with experienced pathologists for validation. Additionally, annotators may work with specialized software and standardized protocols to streamline the process and reduce errors. Team-based reviews and continuous feedback are also essential for maintaining annotation quality.
Ophthalmologist (Medical Data Labeling Specialist)

Ophthalmologist (Medical Data Labeling Specialist)

Saviance

Boston, MA • Remote

Other

Posted 24 days ago

Job description

Ophthalmologist (Medical Data Labeling Specialist)
Location: India, Remote
Duration: Ongoing Part-Time
About BigRio
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI/ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.
About Job:
This role leverages the clinical expertise of an ophthalmologist to accurately annotate and label medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities
Key responsibilities include:
  • Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
  • Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
  • Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
  • Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
  • AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
  • Patient Education Material Development (potential): Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.
  • Privacy and Security: Ensuring compliance with patient privacy and data security policies, like HIPAA.
Qualifications
Essential qualifications typically include:
  • Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
  • Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
  • Experience in Clinical Data Review: Familiarity with medical record documentation.
  • Attention to Detail: Commitment to accurate annotation.
  • Communication Skills: Excellent communication skills, both written and verbal, in English.
  • Teamwork: Ability to collaborate effectively with a multidisciplinary team.
Required skills often include:
  • Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies
  • Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.
  • Problem Solving: Ability to identify challenges and recommend solutions.
  • Adaptability: Ability to adapt to varying image resolutions and file formats.

This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

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