Data Annotation and Innovation Specialist
2 weeks ago
At our research and development center, we are creating the next generation of intelligent tools that empower healthcare professionals to make faster and more accurate decisions. Our team is working on innovative projects that improve patient outcomes worldwide.
- We are looking for a skilled Clinical Data Annotation Specialist who will work with medical experts and AI engineers to label ultrasound images and videos using internal tools.
- The ideal candidate will have a strong background in medical imaging, biomedical engineering, or computer science, and experience with data annotation and AI/ML datasets.
Key Responsibilities:
Job Duties- Labeling: Use internal tools to annotate ultrasound images and videos (lower limb venous structures).
- Collaboration: Work with medical experts and AI engineers to refine annotation guidelines and ensure clinical accuracy.
- Tool Development: Improve and maintain internal data annotation tools, collaborating with the software engineering team to enhance usability, efficiency, and quality control.
- Quality Assurance: Conduct QA checks and consistency reviews on annotated datasets.
- Documentation: Document workflows, provide feedback on tool performance, and propose process optimizations.
- Bachelor's degree or higher in Medical Imaging, Biomedical Engineering, Computer Science, or related field.
- Experience with medical data annotation, medical image processing, or related AI/ML datasets preferred.
- Strong attention to detail, accuracy, and responsibility in data-related tasks.
- Experience using medical annotation tools (e.g., LabelMe, CVAT).
- Familiarity with varicose vein diagnosis is a strong plus.
Send your CV and a brief note on why this space excites you to us. We look forward to seeing how your skills and creativity can contribute to building impactful healthcare software.
Skills:Ultrasound, Medical Imaging, Image Processing, Data Analysis, Healthcare, Team Spirit, Data Processing, Biomedical Engineering, Video Processing, Communication Skills, Labeling items-
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