Duyên Nguyễn

I’m a freelance data annotator focused on high-quality computer vision labeling. I work with Bounding Boxes, Polygons, and Semantic Segmentation to support AI development.

I have hands-on experience in image annotation workflows using Roboflow, while following detailed international annotation guidelines and quality standards. I’m detail-oriented and consistently prioritize precision and consistency.

In my self-employed work, I annotated Bounding Boxes for images with 5–8 objects, achieving around 100–140 objects per hour depending on task complexity. I also completed Polygon Annotations for simple objects at about 30–40 objects per hour while maintaining strong accuracy.

I stay organized through a structured workflow and have completed 100+ images with careful attention to precision. I’m available for remote work, including night shifts, and I’m a fast learner committed to delivering reliable labeled data.