Data labelling
I was able to have hands on experience in data annotation
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I am a detail-oriented Computer Science student with a strong foundation in analytical thinking, logical reasoning, and systems evaluation. My academic background and keen interest in AI have equipped me with the ability to review and annotate complex data, identify inconsistencies, and define clear standards for AI training and evaluation. I am comfortable working with structured data formats like JSON and YAML, and I excel at scenario analysis, edge-case identification, and quality assurance in AI tasks. My ability to communicate clearly in English and work independently in remote environments makes me well-suited for data labeling and AI training data roles, where accuracy, critical thinking, and a holistic understanding of systems are essential. I am passionate about contributing to responsible AI development through rigorous human evaluation and thoughtful annotation practices.
I was able to have hands on experience in data annotation
Bachelor of Science, Computer Science
Data annotator