University of Bradford
Masters , Public health
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I have experience contributing to AI training and data annotation projects through platforms such as Outlier AI and Appen. In these roles, I worked on evaluating, labeling, and validating datasets used to train and improve machine learning models. My responsibilities included assessing the accuracy and relevance of AI-generated outputs, applying detailed annotation guidelines, conducting quality assurance checks, and ensuring consistency across large volumes of data. This experience strengthened my attention to detail, analytical thinking, and ability to interpret complex instructions while maintaining high-quality standards. In addition to my annotation experience, I bring a strong academic background in healthcare and public health. As a medical doctor and Master of Public Health candidate, I have extensive experience critically appraising evidence, analyzing research data, and communicating complex information accurately. My combination of domain expertise, research skills, and AI data-labeling experience allows me to contribute high-quality training data, particularly for healthcare, clinical reasoning, public health, and evidence-based evaluation tasks. I am comfortable working independently, meeting deadlines, and consistently delivering accurate and reliable outputs in fast-paced AI training environments.
Masters , Public health
MBBS, Medicine