Medical Imaging & Segmentation Specialist; 3D Slicer

Analyze and segment CT, MRI, DICOM, and other medical images in 3D Slicer, creating masks, 3D models, and visual outputs. This remote contractor role pays $60 to $112 per hour.

Remote Hourly · $60–$112/hr

$60–$112/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open in 52 countries

United States + more

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

You will support an AI training project by working with medical imaging datasets and explaining technical workflows clearly. Your main tool will be 3D Slicer.

• Analyze and segment CT, MRI, DICOM, and other medical images in 3D Slicer.
• Create and edit accurate segmentation masks, 3D models, and volume renderings.
• Annotate and visualize medical images, then perform quality checks.
• Complete advanced 3D Slicer workflows and explain each step clearly.
• Write detailed instructions and prompts for medical imaging workflows.

This is a remote, part-time contractor opportunity. The weekly schedule and project duration are flexible and will be confirmed for the engagement.

• Pay: $60 to $112 per hour.
• Location:
  
  Remote and open to candidates in the countries specified for this role.
• Language:
  English proficiency at B2 level or higher.
• Strong hands‑on experience with 3D Slicer.
• Experience with medical image segmentation, annotation, and visualization.
• 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 working.
• Ability to explain technical workflows clearly.
• A master's degree or PhD in medical imaging, biomedical engineering, or a related field is helpful.
• Clinical or research experience with medical imaging datasets, medical image processing, or 3D visualization is valuable.
• Previous human data work, such as annotation, RLHF, or AI model evaluation, is also valuable.

AI training uses examples prepared and reviewed by people to help artificial intelligence systems learn. This role uses medical imaging expertise to create accurate data and explain workflows that can support AI development.