Data Annotator (Computer Vision, Healthcare) (IRC289468)

Job Description

- 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 is a big plus.
- Preferred previous experience annotating CT or X-ray images.
- Experience working in healthcare AI, research, or imaging is a plus.

Job Responsibilities

As a Data Annotator, you will be responsible for labeling and annotating medical imaging data (CT and X-ray) to support the development of high-accuracy AI models. This role requires a high level of precision, consistency, and the ability to interpret anatomical structures. The data annotators would be trained by subject matter experts. A medical or healthcare background is a strong advantage.

- 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 that will be used in 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.

Department/Project Description

We are developing advanced machine learning pipelines for the 3D reconstruction of bones from CT images, segmentation of anatomical structures, and detection of medical landmarks from CT scans and X-ray images. Accurate annotations are essential to the performance of our models. To ensure clinical precision, data annotators will be trained and guided by an experienced medical doctor.