DATA ANNOTATOR
LABELLING VIDEO IMAGES
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I have hands-on experience in data labeling and AI training data preparation, where I have worked on annotating, cleaning, and structuring datasets for machine learning applications. My work has involved labeling text for sentiment analysis, categorization, and intent recognition, as well as handling structured data for model training and evaluation. I am highly detail-oriented, ensuring accuracy and consistency across datasets, and I understand the importance of quality control in improving model performance. I am also comfortable using various annotation tools and guidelines to meet project-specific requirements. What sets me apart is my strong technical background in computer science, combined with practical experience in automation and data systems. I have worked on projects involving data processing, workflow automation, and AI integration, which gives me a deeper understanding of how labeled data is used in real-world models. Additionally, I am proficient in Python and data handling, enabling me to preprocess and validate datasets efficiently. My ability to adapt quickly, follow complex instructions, and maintain high accuracy makes me a reliable contributor to AI training and data labeling projects.
LABELLING VIDEO IMAGES
BACHELORS, INFORMATION TECHNOLOGY
COMPUTER TECHNICIAN