
Eye Health Data Annotation Professional
1 week ago
This is a unique opportunity for an ophthalmologist to contribute to the development of AI tools that can improve eye health and patient care on a wider scale.
The successful candidate will be responsible for 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.
- 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.
The ideal candidate should possess:
- 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.
- Communication Skills: Excellent communication skills, both written and verbal, in English.
This role offers a chance to make a meaningful impact on the development of AI tools that can improve eye health and patient care.
Equal Opportunity Statement:
This employer is committed to creating a diverse and inclusive workplace and prohibits discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.
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