weride - Quality Assurance (QA)

• Data Annotation (DA) • Label and annotate data (text, image, audio, or video) based on project guidelines. • Categorize and structure raw data into machine-readable formats. • Follow strict annotation instructions to ensure consistency across datasets. • Identify patterns, edge cases, and ambiguous data for escalation. • Meet daily/weekly productivity and accuracy targets. • Quality Assurance (QA) • Review annotated data to ensure accuracy, consistency, and completeness. • Perform random and targeted quality checks on datasets. • Identify errors such as mislabeling, incorrect classifications, or inconsistencies. • Provide clear feedback to annotators for improvement. • Track and report quality metrics and error trends.