Data Annotator/Labeler
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ClassificationAs a Data Annotator/Labeler at Aligner, I reviewed and annotated datasets for machine learning projects with a focus on maintaining data quality and consistency. My responsibilities included conducting quality checks and collaborating with team members to ensure accurate labeling practices. I also contributed to team training and helped establish standardized annotation workflows. • Ensured high accuracy of labeled data through thorough quality control and error identification. • Implemented best practices for text tagging and classification throughout annotation projects. • Analyzed datasets to identify patterns and inform enhancements in annotation accuracy. • Assisted junior annotators and participated in the evaluation and rollout of new annotation tools and techniques.