University of Washington
Doctor of Philosophy, English Studies and Applied Linguistics
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I am an experienced data annotation and language quality specialist with a strong background in image labeling and AI training data. My expertise includes applying advanced annotation techniques such as bounding boxes, polygons, segmentation, and keypoints using tools like Labelbox, CVAT, SuperAnnotate, and Label Studio. I have contributed to computer vision projects by ensuring the precision and consistency of large-scale image datasets, validating both visual and linguistic accuracy, and refining annotation workflows to meet strict quality standards. With a PhD in English Studies and Applied Linguistics, I bring a high level of written English proficiency and attention to detail, allowing me to produce clear, context-independent responses and maintain high-quality outputs in remote environments. My experience spans collaborating with QA teams, documenting edge cases, and supporting research on multimodal AI data, making me well-equipped to deliver reliable, high-quality training data for AI systems.
Audly R. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Doctor of Philosophy, English Studies and Applied Linguistics
Master of Science, Language, Writing, and Rhetoric
Research Fellow – Language & Visual Data Processing