AI Response Quality Audit System – Independent Project
I designed and built a framework to evaluate more than 500 AI-generated replies with an emphasis on accuracy, tone, clarity, and alignment. I created scoring rubrics and review checklists that increased process efficiency by 30%. My work involved compiling error patterns and authoring a comprehensive guide for AI data annotators. • Developed detailed scoring templates for AI-generated responses • Authored clear evaluation guidelines for annotators and reviewers • Increased speed and reliability of review procedures through checklists • Identified common annotation mistakes and wrote training documentation