Data Annotator
Worked on a large-scale image classification data labeling project with RWS, focusing on annotating and categorizing images to support machine learning model training. Tasks involved applying detailed labeling guidelines to ensure consistent and accurate classification across diverse datasets. Quality was maintained through multi-level review processes, including self-checks, peer reviews, and validator audits to ensure high annotation accuracy. Strict adherence to project instructions, and continuous feedback loops were used to improve consistency and reduce labeling errors.