AI Data Annotation & Evaluation Specialist (AI Data Reviewer | Screenshot Analysis Specialist)
Reviewed visual and text-based datasets and evaluated AI-generated responses using evidence strictly from provided screenshots. Performed classification and annotation review to identify errors, inconsistencies, and unsupported conclusions, then provided structured feedback to improve model performance. Conducted quality assurance activities including validation and guideline compliance checks to ensure annotation consistency across UI workflows. • Evidence-based screenshot evaluation that separates observations from assumptions • Classification and annotation quality review • Error correction and inconsistency reporting • Structured review workflows for dataset validation