Data Annotator – Outlier (Aether Project)
As a Data Annotator on the Aether Project, I performed high-quality text annotation and labeling for AI model training. My responsibilities involved following detailed annotation guidelines to ensure accuracy, consistency, and completeness in the annotated datasets. I contributed actively to both data quality assurance and the continuous improvement of project workflows. • Reviewed and validated complex datasets for alignment with project objectives. • Identified and flagged ambiguities and inconsistencies during the annotation process. • Adapted quickly to evolving requirements and guidelines. • Played a key role in enhancing model performance through precise labeling.