AI & Data Annotation Practice (Self-Initiated)
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This self-initiated project focused on reviewing and labeling text data to assess clarity and quality. AI-generated responses were evaluated for relevance, with guidelines followed to classify and organize the content. Sample content comparison and moderation tasks were performed for training purposes.
• Practiced classification and annotation of text data for clarity and relevance.
• Completed content evaluation and moderation to improve content quality.
• Developed understanding of annotation best practices and consistency.
• Improved labeling speed through repetitive sample tasks.
This self-initiated project focused on reviewing and labeling text data to assess clarity and quality. AI-generated responses were evaluated for relevance, with guidelines followed to classify and organize the content. Sample content comparison and moderation tasks were performed for training purposes. • Practiced classification and annotation of text data for clarity and relevance. • Completed content evaluation and moderation to improve content quality. • Developed understanding of annotation best practices and consistency. • Improved labeling speed through repetitive sample tasks.
2025 - Present