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Health data & AI · Remote worldwide

Medical Imaging & Segmentation Specialist (3D Slicer) - Remote

Medical Imaging & Segmentation Specialist (3D Slicer) - Remote Work Arrangement: Remote Employment Type: Contract Compensation: $115,200–$215,040/year equivalent Hourly Rate: $60–$112/hour English Proficiency: B2 or higher Annualized compensation is an illustrative equivalent bas

Quick answer

Medical Imaging & Segmentation Specialist (3D Slicer) - Remote pays $115200 – $215040/yr, is fully remote and open to qualified candidates worldwide. Applications are free and open until 2027-11-03.

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Pay
$115200 – $215040/yr
Contract
contractor · Remote
Posted
2026-11-03
Closes
2027-11-03

What the role involves

Work Arrangement: Remote
Employment Type: Contract
Compensation: $115,200–$215,040/year equivalent
Hourly Rate: $60–$112/hour
English Proficiency: B2 or higher

Annualized compensation is an illustrative equivalent based on 40 hours/week × 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.

About the Role

We are seeking an experienced Medical Imaging and Segmentation Specialist with strong hands-on expertise in 3D Slicer to support a medical imaging AI training project.

In this role, you will work with real-world medical imaging datasets, performing image analysis, segmentation, annotation, and 3D visualization. You will also document and explain your workflows step by step, helping improve how AI systems interpret and process complex medical imaging data.

This opportunity is suited to professionals with practical experience in medical image processing, segmentation techniques, and 3D visualization.

Key Responsibilities

  • Analyze and segment medical images using 3D Slicer.

  • Work with CT, MRI, DICOM, and other medical imaging datasets.

  • Create, edit, and refine segmentation masks.

  • Generate 3D models, reconstructions, and volume renderings.

  • Perform medical image annotation, visualization, and quality checks.

  • Complete advanced 3D Slicer tasks and document each workflow step by step.

  • Develop clear technical instructions and detailed prompts for medical imaging procedures.

  • Ensure segmentation accuracy, consistency, and quality across assigned tasks.

  • Explain technical decisions and image-processing workflows clearly.

Required Qualifications

  • Strong, hands-on professional experience using 3D Slicer.

  • Practical experience in medical image segmentation, annotation, and visualization.

  • Good understanding of CT, MRI, DICOM, and medical imaging workflows.

  • Ability to create accurate segmentation masks and 3D reconstructions.

  • Access to 3D Slicer and the ability to record your screen while completing tasks.

  • English proficiency of B2 level or higher.

  • Strong technical communication skills and the ability to explain complex workflows clearly.

Preferred Qualifications

  • Master's degree or PhD in Medical Imaging, Biomedical Engineering, or a related discipline.

  • Clinical or research experience working with medical imaging datasets.

  • Background in medical image processing and 3D visualization.

  • Previous experience in AI data projects, including data annotation, Human Data, RLHF, or AI model evaluation.

Core Skills

3D Slicer • Medical Imaging • Medical Image Segmentation • CT Imaging • MRI • DICOM • Image Annotation • Segmentation Masks • 3D Reconstruction • Volume Rendering • Medical Image Processing • 3D Visualization • AI Data Annotation • Workflow Documentation

Who Should Apply?

This opportunity is ideal for medical imaging specialists, biomedical engineers, radiology researchers, image-processing professionals, and 3D Slicer practitioners with practical experience in medical image segmentation and visualization.

If you can accurately analyze medical imaging datasets, create high-quality segmentation outputs, and document your technical workflows, this is an opportunity to apply your expertise to the development of advanced medical imaging AI systems.

Skills and focus areas

  • 3D Slicer
  • Medical Imaging
  • Image Segmentation
  • CT Imaging
  • MRI
  • DICOM
  • Image Annotation
  • 3D Reconstruction
  • Volume Rendering
  • Workflow Documentation
  • Technical Communication

How to stand out

Most remote healthcare contracts are filled within days, so speed and CV fit decide who gets shortlisted.

  • Mirror the exact job title and credentials in your CV headline.
  • Quantify clinical or research volume — cases, studies, patients, datasets.
  • Use a clear CV format: one column, no tables and familiar section headings.
  • Apply within 48 hours of posting to land in the first screening batch.
  • Use Medcruit JobCopilot to tailor your CV to this listing automatically.

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