
Data Labeling Expert
5 days ago
Medical Data Labeling Specialist
">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.
">Key Responsibilities:
">- ">
- 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.">
- Patient Education Material Development: Possibly creating or reviewing materials for AI/ML algorithms to provide accurate patient education.">
- Privacy and Security: Ensuring compliance with patient privacy and data security policies.">
Qualifications:
">- ">
- 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.">
- Teamwork: Ability to collaborate effectively with a multidisciplinary team.">
Required Skills:
">- ">
- Medical Image Annotation: Proficiency in using annotation tools to delineate structures and pathologies.">
- Data Interpretation and Assessment: Skill in interpreting data related to medical products and AI model performance.">
- Problem Solving: Ability to identify challenges and recommend solutions.">
- Adaptability: Ability to adapt to varying image resolutions and file formats.">
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