
Clinical Data Labeling Specialist
3 days ago
Experienced ophthalmologists are sought to annotate medical data for the development of AI and machine learning models.
The selected individual will review and label various ophthalmic data, applying standardized grading protocols and participating in calibration sessions. Close collaboration with AI engineers and data scientists is required to ensure clinical validity of guidelines.
Responsibilities:
- Data Annotation: Reviewing and annotating fundus images, OCT scans, and other visual data.
- Adherence to Protocols: Consistently applying standardized grading protocols.
- Quality Control & Feedback: Participating in calibration sessions and reviews.
- Collaboration: Working with AI engineers and data scientists.
- AI Model Validation: Validating AI model outputs for clinical accuracy.
Qualifications:
- 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.
- Communication Skills: Excellent communication skills in English.
This role presents a unique opportunity to contribute to the advancement of AI tools enhancing eye health and patient care on a broader scale.
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