Medical Image Analyst - AI Trainer
Handshake - Remote (USA), Remote, United States
Posted Mar 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- Median wage (BLS OEWS)
- $81,444 national median
- Projected growth (BLS Employment Projections)
- +6.9% - Faster than average
Matched to SOC 29-1141 - Healthcare aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Medical Image Analyst - AI Trainer Remote (USA), Remote, United States 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
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