
Data Annotation Intern
7 days ago
About Us
Cygnus Med is the Singapore-based R&D center of Furui Medical Science, a publicly listed global medical technology group focused on early-stage diagnosis. Positioned at the crossroads of clinical medicine, medical imaging, and computational science, we are building the next generation of intelligent tools that empower physicians to make faster, more accurate decisions.
At Cygnus, we blend the agility of a startup with the stability and scale of an international enterprise. As part of a high-impact, cross-disciplinary team, your work will translate directly into innovations that improve patient outcomes around the world.
Key Responsibilities- Label ultrasound images and videos (lower limb venous structures) using internal tools;
- Assist in building datasets for training AI diagnostic models;
- Communicate with product managers and AI engineers to understand labeling requirements and issues;
- Deliver accurate and timely annotations based on internal standards;
- Support data QA, review cycles, and help improve label consistency;
- Assist in refining data annotation guidelines based on industry best practices.
- Currently pursuing a degree in Medical Imaging, Ultrasonography, Biomedical Engineering, or Clinical Medicine;
- Basic knowledge of ultrasound imaging, especially venous or vascular anatomy;
- Detail-oriented, responsible, and able to commit regularly to on-site work;
- Available for at least 3 days per week onsite (flexible based on project needs);
- Good team spirit and communication skills.
- Experience using medical annotation tools (e.g., LabelMe, CVAT);
- Familiarity with varicose vein diagnosis or CHIVA procedure is a strong plus.
To apply, lease send your CV and a brief note on why this space excites you to wangchenqiao@fu-rui.com.
We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.
Tell employers what skills you haveUltrasound
Medical Imaging
Healthcare
Team Spirit
Data Processing
Biomedical Engineering
Video Processing
Communication Skills
Labeling items
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