Data annotation, classifications
Project whatcom collects helpful data so researchers can make AI work better in real life situations.
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I am a detail-oriented graduate with hands-on experience in data labeling and annotation for AI and machine learning projects. I have practiced categorizing and tagging both text and image data, including sentiment analysis and object identification, while following strict annotation guidelines to ensure high accuracy and consistency. My skills include text classification, image annotation, and the use of tools like Microsoft Excel and Google Sheets for data management. I am familiar with AI training concepts and quality standards, and I am eager to contribute my abilities to data-driven projects that require careful attention to detail and a commitment to data quality.
Project whatcom collects helpful data so researchers can make AI work better in real life situations.
Bachelor of Science, Human Physiology
AI DATA LABELING