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Medical Imaging & Segmentation Specialist (3D Slicer)

$60–112/hr · micro1 · remote

Open to people living anywhere except 21 places, per micro1's own policy (checked 9 Oct 2026). This listing doesn't name countries itself.

The 21 places micro1 leaves out

Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russia, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, Ethiopia.

Check history

CheckedStatusSlots leftChangeHow
8 Nov 2026Open200Script, platform’s board
7 Nov 2026Open200Script, platform’s board
6 Nov 2026Open200Script, platform’s board
5 Nov 2026Open20–Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

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What the work is

Role Title: Medical Imaging & Segmentation Specialist (3D Slicer)

Role Type: Contractor

Location: Remote

micro1 is looking for experienced 3D Slicer specialists to support an AI training project. In this role, you will use 3D Slicer to complete real-world medical imaging and segmentation tasks and explain your workflows step by step. Your expertise will help improve how AI systems understand medical imaging.

Scope of Work

  • 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 your workflows step by step.
  • Create clear instructions and detailed prompts for medical imaging workflows.

Who gets hired

  • Strong professional hands-on experience using 3D Slicer.
  • Experience with 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 ability to record your screen while completing tasks.
  • English proficiency at B2 level or higher.
  • Ability to explain technical workflows clearly.

Preferred Qualifications

  • A relevant master's degree or PhD in Medical Imaging, Biomedical Engineering, or a related field.
  • Previous Human Data experience, such as data annotation, RLHF, or AI model evaluation.
  • Clinical or research experience working with medical imaging datasets.
  • Experience with medical image processing and 3D visualization.

The platform posted this on 3 Nov 2026.

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