Data Annotator
Annotated and validated large datasets by labeling videos according to project guidelines. Ensured accuracy and consistency to support AI and machine learning model training, testing, and performance improvement.
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I have worked on AI training data projects as an Atlas Capture Labeler, where I carefully reviewed and labeled video to help improve machine learning models. My work involved annotating videos, following detailed guidelines, checking for accuracy, and ensuring that the data met quality standards. Through this experience, I developed a keen eye for detail and learned the importance of consistency when working video labeling. What makes me a strong fit for data labeling roles is my ability to stay focused, learn quickly, and maintain accuracy even when handling repetitive tasks. I also have experience in data management and analytics, which has strengthened my analytical and problem-solving skills. I enjoy working with data, paying attention to the finer details, and contributing to projects that help train and improve AI systems.
Annotated and validated large datasets by labeling videos according to project guidelines. Ensured accuracy and consistency to support AI and machine learning model training, testing, and performance improvement.
Bacherlor's Degree, Biological Science
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