WINNIE KIMANI

I’m a detail-oriented and reliable Data Annotator with hands-on experience labeling text, image, audio, and video data to train and evaluate machine learning models. I follow detailed labeling guidelines to maintain high accuracy and consistency across large data volumes.

In my current remote role with Sama, I’ve labeled and categorized over 50,000 data points, performing bounding box, polygon, and segmentation annotation for computer vision datasets, and tagging text for sentiment analysis, intent detection, and content moderation. I’ve maintained an accuracy and quality score above 96% by reviewing guidelines carefully and flagging ambiguous edge cases to leads.

Before that, as a Generalist / Data Entry Associate at Kenya Data Solutions, I handled data entry, data cleaning, and record verification across spreadsheets and client systems, supporting research, customer support, and administrative coordination. I’m comfortable working independently in deadline-driven remote environments and collaborating with QA and project leads to meet quality targets.