micro1
Medical Imaging & Segmentation Specialist (3D Slicer)
- Где
- Удалённо, весь мир
- Зарплата
- Не указана
- Уровень
- Middle
- Занятость
- Контракт
- Направление
- Медицина и уход
- Опубликовано
- 11 дн назад
Коротко о вакансии
micro1 is looking for experienced 3D Slicer specialists to support an AI training project. In this role, you will use 3D Slicer to complete real-world medical imaging and segmentation tasks and explain your workflows step by step.
Кто может откликнуться
В поле «локация» указано: Worldwide
(Himalayas)
Описание вакансии
Описание на английском: работодатель ждёт отклик на английском.
Role Title: Medical Imaging & Segmentation Specialist (3D Slicer)
Role Type: Contractor
Location: Remote
micro1 is looking for experienced 3D Slicer specialists to support an AI training project. In this role, you will use 3D Slicer to complete real-world medical imaging and segmentation tasks and explain your workflows step by step. Your expertise will help improve how AI systems understand medical imaging.
Scope of Work
- Analyze and segment medical images using 3D Slicer.
- Work with CT, MRI, and other medical imaging datasets.
- Create and edit segmentation masks, 3D models, and volume renderings.
- Perform image annotation, visualization, and quality checks.
- Complete advanced 3D Slicer tasks and explain your workflows step by step.
- Create clear instructions and detailed prompts for medical imaging workflows.
Preferred Qualifications
- Strong professional hands-on experience using 3D Slicer.
- Experience with medical image segmentation, annotation, and visualization.
- Good understanding of CT, MRI, DICOM, and medical imaging workflows.
- Ability to create accurate segmentation masks and 3D reconstructions.
- Access to 3D Slicer and ability to record your screen while completing tasks.
- English proficiency at B2 level or higher.
- Ability to explain technical workflows clearly.
Preferred Qualifications
- A relevant master's degree or PhD in Medical Imaging, Biomedical Engineering, or a related field.
- Previous Human Data experience, such as data annotation, RLHF, or AI model evaluation.
- Clinical or research experience working with medical imaging datasets.
- Experience with medical image processing and 3D visualization.
Originally posted on Himalayas
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