Otega Odogun

I’m a highly detail-oriented Image Annotation Specialist with a Bachelor’s degree in Photography, focused on producing accurate, consistent labeled datasets for AI systems. I bring visual analysis and attention-to-detail from photography into annotation work, ensuring every label matches the guidelines.

In my remote roles as an Image Annotation Specialist and AI Data Annotator, I completed large-scale image and video annotation tasks to support model training. I applied bounding boxes, polygon segmentation, and classification, and I consistently followed complex annotation guidelines to meet quality benchmarks while maintaining fast turnaround times.

I also prioritize data quality assurance and accuracy optimization by identifying objects, patterns, and edge cases that improve dataset reliability. When inconsistencies appear, I collaborate with QA teams to resolve issues and strengthen annotation standards across projects.

I’m comfortable working with annotation tools such as CVAT, Labelbox, and Supervisely (or similar workflows), and I’m quick to learn new tools and processes. With fully equipped remote work readiness, stable internet, and strong English communication, I’m ready for project-based or long-term engagements where performance and dataset integrity matter.