Data Labeler / Data Annotation, Outlier (September 2024 – Ongoing)
Accurately label and categorize various types of data for training machine learning models. Maintain data quality and consistency to support accurate model training. Follow project-specific instructions and labeling guidelines to meet requirements. • Annotate and tag data to create labeled datasets. • Verify quality standards and consistency across samples. • Adhere to instructions, schemas, and labeling guidelines. • Use labeling tools/software to label efficiently and correctly.