Remote Medical Imaging & 3D Slicer Expert

Zekai; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Zekai is seeking an experienced Medical Imaging & Segmentation Specialist (3D Slicer) for a remote, contract role. You will use 3D Slicer to perform real-world medical imaging tasks, segment datasets, create masks and 3D reconstructions, and document your workflows step by step.

This position supports AI training projects, requires strong hands-on experience with 3D Slicer, CT/MRI datasets, DICOM, and the ability to explain workflows clearly.

Qualifications

• Proficient with 3D Slicer and able to record your screen while performing tasks.
• Experience in medical image segmentation, annotation and visualization.
• Strong understanding of CT, MRI, DICOM workflows and related imaging tasks.
• Ability to create accurate segmentation masks and 3D reconstructions.
• English proficiency at B2 level or higher and ability to explain workflows clearly.
• Master's or PhD in Medical Imaging, Biomedical Engineering or related field.

Responsibilities

• Analyze and segment medical images using 3D Slicer.
• Work with CT, MRI, and other medical imaging datasets.
• Create and edit segmentation masks, 3D models, and volume renderings.
• Perform image annotation, visualization, and quality checks.
• Complete advanced 3D Slicer tasks and explain workflows step by step.
• Create clear instructions and detailed prompts for medical imaging workflows.

Skills

3D Slicer

Medical image segmentation

Visualization

Workflow explanation

Education

Master's degree or PhD in Medical Imaging or Biomedical Engineering

Tools

3D Slicer

Job description

Zekai is seeking an experienced Medical Imaging & Segmentation Specialist (3D Slicer) for a remote, contract role. You will use 3D Slicer to perform real-world medical imaging tasks, segment datasets, create masks and 3D reconstructions, and document your workflows step by step.

This position supports AI training projects, requires strong hands-on experience with 3D Slicer, CT/MRI datasets, DICOM, and the ability to explain workflows clearly.