Maastricht University
Computer Science, Netherlands
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I have hands-on experience working with data labeling and AI training workflows, particularly through projects that required structuring, cleaning, and annotating data for practical use. With a background in computer science, I understand how labeled datasets directly impact model performance, which allows me to approach tasks with both technical awareness and attention to detail. I am comfortable working with structured and unstructured data, performing tasks such as classification, tagging, and validation while maintaining consistency and accuracy. My coding exposure, especially in areas like JavaScript and app development, also helps me understand how training data integrates into real-world systems. In addition, my experience in graphic design strengthens my ability to interpret visual data and maintain high-quality annotation standards in image-based tasks. I have worked on projects that required visual precision, layout awareness, and user-centered thinking, which translates well into image labeling, segmentation, and design-related dataset preparation. This combination of technical and creative skills allows me to contribute effectively to AI training processes, ensuring both logical consistency and visual accuracy in the data provided.
Lorine O. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Computer Science, Netherlands
Certificate, Full Stack Website Development and Programming
Web developer