Data Annotator – iMerit
As a Data Annotator at iMerit, I was responsible for annotating and labeling large datasets across text, image, and multimodal formats for AI model training. I ensured the accuracy and consistency of annotated data by rigorously following project-specific guidelines and conducted data validation and quality assurance checks. Collaboration with the QA team and a commitment to maintaining dataset integrity were core aspects of this role. • Managed text, image, and multimodal datasets for machine learning. • Enforced strict adherence to annotation guidelines and project standards. • Performed thorough data quality control and validation tasks. • Supported ongoing improvements in annotation precision through QA collaboration.