AI Healthcare Researcher & Data Annotation Specialist 04/
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AI Healthcare Researcher & Data Annotation Specialist. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1. Education includes Doctor of Philosophy, Picardy Jules Verne University & Lebanese University (2019) and Master 2 (Research), Lebanese University (2015). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Named Entity Recognition.
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Evaluated healthcare and scientific content against structured quality and accuracy criteria for AI outputs. Provided detailed evidence-based feedback on reviewed AI-generated responses, including identification of inaccuracies, inconsistencies, and reasoning gaps. Documented evaluation rationales to support consistency, reproducibility, and quality assurance for model improvement. • Review AI-generated outputs for correctness and completeness • Apply structured guidelines to assess quality and accuracy • Report scientific errors and gaps in reasoning • Maintain documentation and consistency across reviews
Doctor of Philosophy, Integrated Physiology
Master 2 (Research), Chemistry and Biology of Bioactive Molecules
Teaching and Research Assistant
Postdoctoral Researcher in Neuroscience