You will support an AI training project by working with medical imaging datasets and explaining technical workflows clearly. Your main tool will be 3D Slicer.
- Analyze and segment CT, MRI, DICOM, and other medical images in 3D Slicer.
- Create and edit accurate segmentation masks, 3D models, and volume renderings.
- Annotate and visualize medical images, then perform quality checks.
- Complete advanced 3D Slicer workflows and explain each step clearly.
- Write detailed instructions and prompts for medical imaging workflows.
What it pays and takes
This is a remote, part-time contractor opportunity. The weekly schedule and project duration are flexible and will be confirmed for the engagement.
- Pay: $60 to $112 per hour.
- Location: Remote and open to candidates in the countries specified for this role.
- Language: English proficiency at B2 level or higher.
- Experience level: Intermediate.
- Strong hands-on experience with 3D Slicer.
- Experience with medical image segmentation, annotation, and visualization.
- Understanding of CT, MRI, DICOM, and medical imaging workflows.
- Ability to create accurate segmentation masks and 3D reconstructions.
- Access to 3D Slicer and the ability to record your screen while working.
- Ability to explain technical workflows clearly.
- A master's degree or PhD in medical imaging, biomedical engineering, or a related field is helpful.
- Clinical or research experience with medical imaging datasets, medical image processing, or 3D visualization is valuable.
- Previous human data work, such as annotation, RLHF, or AI model evaluation, is also valuable.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.
About AI training work
AI training uses examples prepared and reviewed by people to help artificial intelligence systems learn. This role uses medical imaging expertise to create accurate data and explain workflows that can support AI development.