University of Chicago
Master in Applied Data Science, Applied Data Science
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I have solid experience in data labeling and AI training data across image, text, and audio tasks, contributing to machine learning models in natural language processing, computer vision, and speech recognition. I’m skilled at using industry-standard annotation tools and understand the importance of precision and consistency in creating high-quality datasets. Notable projects include sentiment analysis—where I labeled social media posts and reviews to identify emotion, tone, and intent—and autonomous driving, where I annotated street-level images to detect lanes, traffic signs, and objects for navigation systems. I stand out for my attention to detail, ability to follow complex guidelines, and adaptability to new domains and tools, making me a reliable contributor in fast-paced AI projects.
Lizhi D. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master in Applied Data Science, Applied Data Science
Bachelor of Science, Operations Research and Information Engineering
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