Medical Imaging & Segmentation Specialist (3D Slicer)

$60–112/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Medical

Use 3D Slicer to segment and visualize CT, MRI, and other medical imaging datasets for an AI training project. The work includes producing accurate outputs, checking their quality, and recording clear step-by-step explanations of each workflow.

The work

This remote contractor role centers on completing medical imaging tasks in 3D Slicer. Day-to-day work may include importing DICOM studies, segmenting structures in CT and MRI volumes, editing masks, generating 3D models and volume renderings, annotating images, and checking outputs for quality and anatomical consistency.

What the platform screens for

The screening is likely to test whether you can describe specific 3D Slicer workflows under follow-up, rather than simply name modules or imaging modalities. Be prepared to explain parameter choices, difficult boundary decisions, segmentation corrections, visualization methods, and how you determine that an output is accurate enough for its intended use. English proficiency at B2 level or higher is preferred, as the work requires clear instructions and detailed prompts.

AI training context

Outputs are intended to help AI systems understand medical imaging workflows. Relevant prior experience includes human data work such as data annotation, RLHF, or AI model evaluation, but this is preferred rather than stated as mandatory. A relevant master's degree or PhD in Medical Imaging, Biomedical Engineering, or a related field is also preferred.

Practical details

The role is remote and requires access to 3D Slicer plus the ability to record your screen while completing tasks. The listing does not specify whether work is fully asynchronous or state typical weekly hours, so candidates should confirm scheduling, workload, and turnaround expectations during screening.

Pay band: $60–112/hr

What they look for

3D Slicer
Medical Imaging

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your experience is hands-on and verifiable through named modalities, anatomical targets, Slicer modules, deliverables, and project responsibilities.
A strong answer: Give one or two concrete projects, identifying the modality, anatomy, task, modules or tools used, output format, and your responsibility for quality. Distinguish routine use from advanced work such as multimodal registration, complex mask correction, or 3D reconstruction.
Where people lose it: Candidates lose points by claiming broad expertise while giving no example of a completed segmentation, model, rendering, or annotation workflow.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

MEDICINE on Sidequest

What medicine AI work pays

Rates by specialty, the platforms hiring, and every open role in this field.