Medical Data Labeling Specialist
The ideal candidate will have a deep understanding of ophthalmology and the ability to accurately annotate and label medical data.
- Data Annotation : The role involves reviewing and annotating various ophthalmic data such as fundus images, optical coherence tomography (OCT) scans, and other visual data.
- Anatomical Structures and Disease Markers : The candidate must be able to identify anatomical structures and disease markers in medical images.
- Adherence to Protocols : Adherence to standardized grading protocols is crucial for accurate and consistent labeling.
- Clinical Validity : Collaboration with AI engineers and data scientists is essential to ensure the clinical validity of guidelines.
Required Skills and Qualifications :
Ophthalmologist MBBS with at least 1-2 years of clinical experience.Extensive clinical knowledge in ophthalmology.In-depth understanding of various eye conditions.Experience in clinical data review.Familiarity with medical record documentation.Attention to detail.Excellent communication skills in English.Benefits :
This role offers a unique opportunity to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.A diverse and inclusive workplace culture.