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I have extensive experience in AI data training and annotation, specializing in content evaluation, linguistic analysis, and quality assurance in both English and Arabic. My work includes tasks such as data labeling, prompt engineering, response ranking, and creative content generation to enhance AI model performance. I have contributed to improving AI systems across various domains, including large language model (LLM) evaluation, sentiment analysis, and machine translation post-editing (MTPE). Through my role as an AI Trainer at several entities (DataAnnotation, LabelBox, Telus International, and others), I have worked on projects requiring meticulous attention to detail, cultural and contextual accuracy, and the ability to adapt to evolving project requirements. My skill set includes proficiency in data annotation tools, bilingual translation, and content moderation, ensuring high-quality data for machine learning applications. I have collaborated on diverse projects such as search relevance evaluation, content classification, and AI-driven customer support optimization. My strong analytical abilities, adaptability, and commitment to delivering precise and culturally relevant data make me a valuable asset in AI training and localization efforts.
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Sentiment and trend analysis in media content with a focus on emotion recognition and response rating.
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Bachelor's in Engineeering, Aeronautical Engineering and Aviation Management
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