As an entry-level Data Annotator, I have gained hands-on experience in labeling and annotating large datasets to support
As an entry-level Data Annotator, I have gained hands-on experience in labeling and annotating large datasets to support the training and improvement of AI and machine learning models. My responsibilities include performing accurate data tagging for tasks such as image classification, object detection (bounding boxes), semantic segmentation, and text annotation for NLP projects. I strictly follow annotation guidelines to ensure high-quality, consistent labeling while maintaining attention to detail and efficiency under tight deadlines. Through this role, I have developed a strong understanding of how high-quality training data directly impacts model performance. I am proficient in using common annotation tools and platforms, and I am continuously learning about AI fundamentals, data quality standards, and best practices in the field. This foundational experience has equipped me with the skills to contribute effectively to AI development teams and further grow in the data annotation and AI domain.