Content Reviewer – Labeled and rated content for ML training and evaluation
As a Content Reviewer, I rated and evaluated large volumes of user-generated and AI-generated textual content for quality, accuracy, and policy compliance. I collaborated with a machine learning team to provide labeled datasets that support algorithm improvements. My work contributed to developing refined content evaluation guidelines and reporting on content trends. • Labeled and rated over 200 content pieces daily for training and QA purposes • Provided systematic feedback to enhance moderation algorithms • Mentored reviewers on evaluation techniques and standards • Utilized annotation tools and contributed to machine learning initiatives