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3D Slicer Specialist

Handshake AI · Region specific · Coding / software engineering

3D Slicer Specialist is an open role at Handshake AI, with pay listed as Up to $125/hr.

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At a glance

Pay
Up to $125/hrStated by Handshake AI
Location
Not stated in the listing
Listed
Since Jul 20, last confirmed Oct 24

How the pay compares

This role$125
Handshake AI median$83
Coding / software engineering median$75
All roles median$60

Higher than 86% of the 130 distinct hourly rates advertised for Coding / software engineering roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Handshake AI’s listing

“Opportunity Overview Handshake is recruiting medical imaging specialists with experience in image analysis and visualization using 3D Slicer to contribute to an AI research project.”
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Opportunity Overview

Handshake is recruiting medical imaging specialists with experience in image analysis and visualization using 3D Slicer to contribute to an AI research project. In this project, you’ll apply your expertise to help improve how AI understands real-world professional tasks within your domain, such as medical image segmentation, volume rendering, image registration, and quantitative imaging analysis. This is an ongoing, project-based opportunity you can take on alongside your current role.

What You’ll Do

  • Use your medical imaging experience to create tasks that today’s top AI models can’t solve based on real workflows, such as loading and navigating DICOM data, segmenting anatomical structures, registering image volumes, building 3D models from scans, measuring and quantifying regions of interest, and Python scripting and extension use within 3D Slicer
  • Review and evaluate AI-generated responses
  • Provide clear, structured written feedback to help improve AI model performance
  • Work remotely and complete tasks at your own pace, with no set schedule or minimum hour requirement

Qualifications

  • Degree: Completed Bachelor’s degree or higher in a relevant field, such as Biomedical Engineering, Medical Imaging, Radiologic Technology, Neuroscience, Computer Science, or a closely related discipline
  • Tool experience: At least 2 years of work experience using 3D Slicer

Additional qualifications (not required, but strengthen your application)

  • Experience across multiple imaging or analysis tools and workflows, such as ITK-SNAP, OsiriX/Horos, MITK, VTK, or Python libraries for medical imaging (SimpleITK, MONAI, pydicom), or familiarity with DICOM and NIfTI formats
  • Professional experience in a hospital, research lab, medical device company, or imaging core facility, or a record of published research or imaging projects

Required for all applicants

  • Must have US work authorization
  • Strong written communication and atte

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Frequently asked questions

How do I apply for the 3D Slicer Specialist role at Handshake AI?

Applications go through Handshake AI's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Handshake AI's access model is "Apply" (Apply to listed opportunities). This listing was first seen here on July 20, 2026 and was still live at the last check.

Is the 3D Slicer Specialist role at Handshake AI remote?

Handshake AI left the location field empty on this listing, so there is nothing to report rather than something we've withheld. The constraint that still applies is Handshake AI's overall coverage: Many roles require US work authorisation.

What does the 3D Slicer Specialist role at Handshake AI pay?

Handshake AI lists this role's pay as Up to $125/hr, quoted from the listing rather than estimated.

What kind of work is 3D Slicer Specialist?

Coding / software engineering. Generalist and specialist AI evaluation and training projects

Is Handshake AI a legitimate AI-training platform?

Handshake AI fellowship / opportunity network - and that relationship is rated "Confirmed" here because it can be checked against joinhandshake.com rather than taken on Handshake AI's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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