Bachelor of science in Biotech and training on data annotation
Bachelor of science in Biotech and training on data annotation
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I have extensive experience supporting AI training and data labeling workflows across a wide range of domains, including natural language processing, computer vision, and content moderation. My work involves generating, reviewing, and refining labeled datasets by applying clear annotation guidelines, ensuring consistency, and maintaining high-quality outputs. I’m skilled at tasks such as text classification, sentiment analysis, entity recognition, and evaluating model responses for accuracy, relevance, and safety. In addition, I focus on improving dataset quality through detailed feedback, error analysis, and adherence to project standards. I’m comfortable working with large volumes of data, meeting tight deadlines, and collaborating within structured labeling environments. My approach emphasizes precision, reliability, and continuous improvement to help train AI systems that are both effective and aligned with user needs.
Bachelor of science in Biotech and training on data annotation
Reviewed and organized large amounts of text data by categorizing information, checking for accuracy, and ensuring consi