Samuel Williams

I am a result driven Data Annotation Specialist with hands on experience delivering high-quality labeled datasets for AI and machine learning projects. I focus on accuracy and consistency, with strong skills in image and video annotation, bounding box labeling, and data classification.

In my annotation project experience, I completed 250+ image annotations for object detection models and executed frame-by-frame video annotation for motion tracking and behavioral analysis. I ensured over 98% annotation accuracy through quality checks and corrections, using CVAT and Label Studio to deliver structured, high-quality datasets.

Alongside annotation, I bring AI prompt writing and remote collaboration experience. I also manage personal social media pages, create high-converting captions and content strategies, and conduct trend research to improve content visibility—always meeting deadlines and maintaining quality standards.