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2 days ago
The role of Medical Data Labeling Specialist involves accurately annotating and labeling medical data, primarily images and structured clinical data related to eye health, for the development and refinement of artificial intelligence (AI) and machine learning (ML) models in ophthalmology.
Responsibilities:- Review and annotate various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- Apply standardized grading protocols consistently for accurate and consistent labeling.
- Participate in calibration sessions and reviews to maintain annotation consistency.
- Collaborate with AI engineers and data scientists to ensure the clinical validity of guidelines.
- Validate AI model outputs for clinical accuracy and safety.
Key qualifications include an ophthalmologist (MBBS) degree with at least 1-2 years of clinical experience, extensive clinical knowledge of various eye conditions, and experience in clinical data review.
Required Skills:- Medical image annotation using annotation tools to delineate structures and pathologies.
- Data interpretation and assessment skills related to medical products and AI model performance.
- Problem-solving abilities to identify challenges and recommend solutions.
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. BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace.
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