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I have experience working with structured data tasks that support AI model training, including data labeling, annotation, and quality checking. This involves reviewing datasets, tagging information accurately based on given guidelines, and ensuring consistency across large volumes of data. I am comfortable following detailed instructions and maintaining high attention to accuracy to help improve model performance and reliability. In addition, I understand the importance of data quality in machine learning workflows and can quickly adapt to different labeling tools and frameworks. I am detail-oriented, able to work with repetitive tasks efficiently, and committed to producing clean, well-structured datasets that meet project requirements.
Yes, I have prior experience in AI data labeling through my work on Handshake AI, where I contributed to structured data tasks such as annotation, labeling, and quality review of datasets used for model training. I followed detailed guidelines to ensure accuracy and consistency across different tasks and learned how to handle large volumes of data efficiently.
Bachelor of Science, Computer Science
Junior Software Developer
