Project Coffee
Assessed the quality and relevance of AI generated content (text and image), categorized and validate text and image datasets based on predefined quality standards.
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I am a meticulous AI Trainer and Data Annotator with extensive experience in creating and evaluating high-quality training datasets for machine learning, particularly in large language model (LLM) development. My work spans image segmentation, 3D/4D image labeling, and NLP tasks such as prompt engineering and RLHF-based response evaluation. I am skilled at using tools like Labelbox, CVAT, Appen, and Airtable to ensure accuracy and contextual relevance in labeled data, and have successfully annotated and reviewed tens of thousands of data points, improving model accuracy and reducing labeling errors. My strong attention to detail, analytical thinking, and ability to follow complex guidelines enable me to deliver reliable results under tight deadlines while collaborating effectively in remote teams.
Assessed the quality and relevance of AI generated content (text and image), categorized and validate text and image datasets based on predefined quality standards.
Bachelor of Science, English Language
Administrative & Record Officer