
Clinical Labeling Expert
3 hours ago
This role involves the clinical expertise of an ophthalmologist to accurately annotate and label medical data for AI/ML models in ophthalmology.
- Data Annotation: Reviewing and annotating various ophthalmic data like fundus images, Optical Coherence Tomography (OCT) scans, and other visual data, identifying anatomical structures and disease markers.
- Adherence to Protocols: Applying standardized grading protocols consistently for accurate and consistent labeling.
- Quality Control & Feedback: Participating in calibration sessions and reviews to maintain annotation consistency.
- Collaboration: Working with AI engineers and data scientists to ensure the clinical validity of guidelines.
- AI Model Validation: Validating AI model outputs for clinical accuracy and safety.
Essential qualifications typically include:
- Ophthalmologist (MBBS) with at least 1-2 years of clinical experience.
- Extensive Clinical Knowledge: In-depth understanding of various eye conditions.
- Experience in Clinical Data Review: Familiarity with medical record documentation.
- Attention to Detail: Commitment to accurate annotation.
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