GlobalLogic
Annotator (Machine Learning/Computer Vision) (IRC289468)
Remote Junior
Summary
GlobalLogic is seeking a Data Annotator for Machine Learning and Computer Vision projects focused on medical imaging. The role involves accurately labeling and annotating CT scans and X-ray images to support the development of high-accuracy AI models for 3D reconstruction and anatomical landmark detection.
What you'll do
- Annotation of Medical Images: Accurately label bones, joints, and anatomical landmarks on CT scans and X-ray images
- Landmark Tagging: Identify clinically relevant anatomical landmarks for AI-based landmark detection
- Quality Assurance: Follow strict medical annotation protocols provided by supervising doctors
- Collaboration: Work closely with medical experts, AI engineers, and fellow annotators in a multidisciplinary environment
Requirements
- High attention to detail and commitment to annotation accuracy
- Comfort working with 2D/3D medical imaging data
- Experience with or willingness to learn tools like 3D Slicer or similar
- Background in medicine, radiology, biomedical sciences, anatomy, or related healthcare fields (preferred)
- Previous experience annotating CT or X-ray images (preferred)
- Experience working in healthcare AI, research, or imaging (preferred)
Conditions
Training provided by subject matter experts and experienced medical doctors. Multidisciplinary team environment with collaboration opportunities.