AI Data Annotation Practice (Self-Training)
OtherTextClassification
Practised sentiment analysis and intent classification using structured annotation guidelines in independent self-training. Consistently carried out multi-label annotation tasks, handled edge cases, and completed AI response evaluation focused on accuracy, clarity, completeness, and relevance. Applied annotation techniques to text, as well as basic image and audio data, following guideline-based gold standards.
• Sentiment and intent annotation using structured guidelines
• Multi-label text classification incorporating ambiguous edge cases
• AI response quality evaluation and rationale writing
• Independent guideline compliance and disagreement resolution
Practised sentiment analysis and intent classification using structured annotation guidelines in independent self-training. Consistently carried out multi-label annotation tasks, handled edge cases, and completed AI response evaluation focused on accuracy, clarity, completeness, and relevance. Applied annotation techniques to text, as well as basic image and audio data, following guideline-based gold standards. • Sentiment and intent annotation using structured guidelines • Multi-label text classification incorporating ambiguous edge cases • AI response quality evaluation and rationale writing • Independent guideline compliance and disagreement resolution
2025 - Present