Data Annotation & Quality Review Contributor
As a Data Annotation & Quality Review Contributor at Outlier, I reviewed and labeled diverse text, image, and video content according to stringent project guidelines. I performed content labeling, entity identification, and pattern recognition to support high-quality AI training data. My responsibilities included written feedback for model improvement and prompt adaptation to new task types and tools. • Successfully completed data annotation and evaluation tasks with a focus on compliance and accuracy. • Ensured data consistency through rigorous quality checks and detailed compliance review. • Labeled content spanning multiple formats by following detailed instructions and project requirements. • Provided concise feedback to highlight discrepancies and support AI model training.