Data Labeling Specialist
At Outlier AI, I worked as a Data Labeling Specialist where I labeled and reviewed large datasets. My role involved identifying and properly categorizing outliers and edge cases. I consistently followed detailed annotation guidelines, ensuring high consistency and quality standards. Performing quality assurance checks was integral to my task, significantly reducing labeling errors and enhancing dataset reliability. • Identified and analyzed outliers. • Conducted quality assurance to improve reliability. • Provided feedback on ambiguous cases. • Managed tasks efficiently, meeting strict deadlines.