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Medical Imaging Segmentation Jobs (NOW HIRING)

Handshake

CT/MRI segmentation, medical image analysis, or surgical planning using 3D Slicer * DICOM workflows, neuroimaging analysis, or clinical research data pipelines * Annotating or labeling medical ...

Stryker

Senior Computer Vision Engineer

Menlo Park, CA · On-site

$116K - $193K/yr

... 3D medical imaging segmentation, deriving biomarkers from medical imaging such as CT scans, X-Ray, MRI, etc. * Collaborate with internal or external teams in acquiring, storing, organizing ...

Stryker

Senior Computer Vision Engineer

Menlo Park, CA

$116K - $193K/yr

... 3D medical imaging segmentation, deriving biomarkers from medical imaging such as CT scans, X-Ray, MRI, etc. * Collaborate with internal or external teams in acquiring, storing, organizing ...

Fujifilm

Contracts Manager (Medical Imaging)

$91K - $121K/yr

... segments of healthcare, electronics, business innovation, and imaging. We are guided and united by ... FDA) medical device regulatory requirements, applicable ISO 13485 standard requirements and all ...

Fujifilm

$88K - $118K/yr

... segments of healthcare, electronics, business innovation, and imaging. We are guided and united by ... FDA) medical device regulatory requirements, applicable ISO 13485 standard requirements and all ...

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Medical Imaging Segmentation information

What are the key skills and qualifications needed to thrive as a Medical Imaging Segmentation Specialist, and why are they important?

To excel in Medical Imaging Segmentation, you need a solid background in biomedical engineering, computer science, or related fields, with expertise in image analysis and anatomy. Familiarity with medical imaging software (such as 3D Slicer or ITK-SNAP), programming languages (like Python), and machine learning frameworks is typically required. Attention to detail, strong problem-solving skills, and effective communication are critical soft skills for accurately interpreting images and collaborating with clinical teams. These skills ensure precise, reliable segmentation that supports diagnostics, research, and treatment planning in medical settings.

What are some common challenges faced in medical imaging segmentation roles, and how can they be addressed?

Professionals working in medical imaging segmentation often encounter challenges such as dealing with low-quality or noisy imaging data, anatomical variability among patients, and the need for precise delineation of structures. These challenges can be addressed by developing strong skills in image preprocessing, leveraging advanced segmentation algorithms (such as deep learning methods), and collaborating closely with radiologists or clinicians to validate results. Regular communication with multidisciplinary teams and staying updated with the latest research also help in overcoming these obstacles and improving segmentation accuracy.

What is medical imaging segmentation?

Medical imaging segmentation is the process of partitioning medical images, such as CT, MRI, or ultrasound scans, into meaningful regions or structures. This technique helps identify and isolate specific tissues, organs, or abnormalities, making it easier for clinicians to analyze and diagnose medical conditions. Segmentation can be done manually, semi-automatically, or automatically using advanced algorithms, including artificial intelligence. It is a critical step in many medical applications, such as treatment planning, disease monitoring, and surgical navigation.
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Medical Imaging Segmentation jobs near you
Infographic showing various Medical Imaging Segmentation job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.
Medical Imaging Specialist - AI Trainer

Medical Imaging Specialist - AI Trainer

Handshake

On-site, Remote

Full-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Opportunity Overview Handshake is looking for skilled 3D Slicer users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with medical image analysis, CT/MRI segmentation, or surgical planning to evaluate AI-generated content and provide feedback that helps AI better understand medical imaging tasks and clinical research workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced 3D Slicer user who has worked in or around roles like:
  • Medical Imaging Specialist or Biomedical Engineer
  • Research Scientist or Neuroimaging Analyst
  • Radiologist or Medical Physicist
You should have solid experience with one or more of the following:
  • CT/MRI segmentation, medical image analysis, or surgical planning using 3D Slicer
  • DICOM workflows, neuroimaging analysis, or clinical research data pipelines
  • Annotating or labeling medical imaging datasets
  • Reviewing segmentation outputs for accuracy, anatomical consistency, or clinical relevance
What You'll Do You'll use your experience with 3D Slicer to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world medical imaging and biomedical research workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have:
  • At least 1 year of hands-on experience with 3D Slicer, whether through professional work or research projects
  • A working knowledge of medical imaging concepts, DICOM standards, and clinical research workflows
  • Strong written communication skills and attention to detail
  • The ability to work independently and follow written guidelines
Application Process
  • Create a Handshake account
  • Upload your resume and submit your portfolio
  • Verify your identity
  • Get matched and onboarded into relevant projects
  • Start working and earning
Work Model and Project Details
  • Status: Independent contractor (not a full-time employee role)
  • Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer
  • Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5-20 hours per week when assigned to an active project
  • Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available
Work Authorization Must be currently residing in the United States. F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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