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

YO AI Labs · Remote (United States)

Remote
Full-time
Mid

Posted January 21, 1970

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AI Summary

YO AI Labs is hiring a remote contractor to use 3D Slicer on CT, MRI, and other medical imaging datasets, performing segmentation, creating 3D models and volume renderings, and documenting workflows step by step. The work supports AI training by helping systems understand medical imaging and 3D visualization, and it also involves writing clear instructions and prompts for these workflows.

Job Description

Job Description: Medical Imaging & Segmentation Specialist (3D Slicer)

Role Type: Contractor
Location: Remote

About the Role

We are seeking experienced Medical Imaging & Segmentation Specialists with expertise in 3D Slicer to contribute to an AI training project. In this role, you will use 3D Slicer to perform real-world medical imaging and segmentation tasks and explain your workflows step by step. Your expertise will help enhance AI systems' understanding of medical imaging, image processing, and 3D visualization.

Scope of Work

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

Requirements

  1. Strong hands-on professional experience with 3D Slicer.
  2. Experience in medical image segmentation, annotation, and visualization.
  3. Good understanding of CT, MRI, DICOM, and medical imaging workflows.
  4. Ability to create accurate segmentation masks and 3D reconstructions.
  5. Access to 3D Slicer and the ability to record your screen while completing tasks.
  6. English proficiency of B2 level or higher.
  7. Ability to clearly communicate and explain technical workflows.

Preferred Qualifications

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

Originally posted on Himalayas

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