Computer Operations & Digital Design Assistant – Data Evaluation and Annotation Support
Reviewed and categorized digital content for accuracy, consistency, and clarity, focusing on both textual and visual materials. Applied structured labeling criteria to assess quality, factual accuracy, and relevance of data. Evaluated correctness and tone in content, providing feedback applicable for AI-generated text and annotation improvement. • Consistently applied established guidelines for evaluating and annotating text outputs. • Performed quality assessment tasks transferable to AI training and evaluation roles. • Demonstrated proficiency in remote, instruction-based assignments with high attention to detail. • Maintained accuracy and thoroughness across repeated, precision-centric labeling streams.