Data Annotation & AI Training
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Reviewed and labeled text-based datasets to support AI model training, ensuring accuracy and consistency through structured annotation processes. Evaluated AI-generated responses for clarity, relevance, and correctness, and provided actionable feedback to improve model outcomes. Maintained quality standards and focus across repetitive, detail-oriented data labeling tasks.
• Labeled and annotated text data following task-specific guidelines.
• Assessed and rated AI outputs for accuracy and usefulness.
• Submitted structured feedback to enhance dataset quality.
• Demonstrated strong attention to detail during repeated annotation cycles.
Reviewed and labeled text-based datasets to support AI model training, ensuring accuracy and consistency through structured annotation processes. Evaluated AI-generated responses for clarity, relevance, and correctness, and provided actionable feedback to improve model outcomes. Maintained quality standards and focus across repetitive, detail-oriented data labeling tasks. • Labeled and annotated text data following task-specific guidelines. • Assessed and rated AI outputs for accuracy and usefulness. • Submitted structured feedback to enhance dataset quality. • Demonstrated strong attention to detail during repeated annotation cycles.
2024 - 2025