3D Slicer Medical Imaging Evaluator

What You'll Do8

• Review AI-generated answers about medical imaging and mark errors in anatomy, scan type, or clinical context.
• Use 3D Slicer to inspect CT or MRI datasets when a task needs a practical check.
• Create prompts that ask AI models to explain segmentation choices, surgical planning steps, or imaging findings.
• Score LLM responses against medical accuracy, clarity, and relevance to the original question.
• Record feedback that explains why a response fails, not just that it fails.
• Compare model output with accepted clinical research workflows for imaging analysis.
• Flag unsafe or misleading medical statements for review.
• Track task progress across open projects and communicate with research teams through async channels.

Requirements6

• At least one year of work experience with 3D Slicer.
• Comfort reading CT and MRI scans and explaining segmentation or surgical planning steps.
• Ability to evaluate AI text for medical accuracy and give clear written feedback.
• Experience working async with research or engineering teams.
• Familiarity with clinical research workflows and medical imaging terms.
• Strong written English for detailed critique.

Who Should Apply

The ideal candidate has logged at least a year in 3D Slicer and can speak to real CT, MRI, or surgical planning work. They treat model evaluation as a writing task: they spot a wrong vessel, a missing slice, or a weak prompt, then explain the fix in plain language. This role fits people who want project work with no set hours and no minimum commitment. It does not fit candidates who need steady full-time income, guaranteed project placement, or step-by-step task instructions. Applicants often score low when their 3D Slicer experience is only academic and brief, or when feedback stays general instead of citing specific anatomy, scan type, and clinical reasoning.

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