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.