Data Annotator, Outlier (Remote)
Accurately annotates and labels machine learning data according to predefined guidelines and specifications, ensuring consistent output across items. Performs thorough quality checks and validations to detect and rectify errors, maintaining reliability and data integrity. Analyzes annotated results to identify patterns and trends that can improve annotation procedures and overall data quality. • Execute labeling tasks per project-specific instructions and standards. • Conduct validation passes and error remediation to ensure consistency. • Provide insights to refine annotation workflows and best practices. • Document labeling processes and collaborate with cross-functional teams.