AI Data Analyst (Freelance) at RWS Moravia: high volume annotation and quality evaluation for AI model training and optimization
Performed high volume data annotation and quality evaluation of AI training datasets. Reviewed annotations for accuracy and consistency, focusing on edge cases and inconsistencies. Contributed to continuous improvement by identifying problematic outputs and proposing corrective insights. • Annotated dataset instances across provided modalities based on project requirements. • Performed analytical checks to verify label correctness and data quality. • Flagged edge cases and inconsistencies in AI-generated results. • Delivered assignments with high accuracy and attention to detail.