Annotation & Classification Project Contributor
TextClassification
In an annotation and classification project, I labeled datasets for intent, sentiment, and relevance to support LLM fine-tuning and evaluation. I applied consistent logic across ambiguous and edge-case data ensuring high accuracy. My annotation work contributed to the improvement of task completion speed and data quality assurance.
• Labeled text datasets for various classification objectives.
• Ensured annotation consistency on ambiguous and challenging cases.
• Contributed actionable feedback to improve accuracy and efficiency.
• Supported ongoing LLM fine-tuning and classification initiatives.
In an annotation and classification project, I labeled datasets for intent, sentiment, and relevance to support LLM fine-tuning and evaluation. I applied consistent logic across ambiguous and edge-case data ensuring high accuracy. My annotation work contributed to the improvement of task completion speed and data quality assurance. • Labeled text datasets for various classification objectives. • Ensured annotation consistency on ambiguous and challenging cases. • Contributed actionable feedback to improve accuracy and efficiency. • Supported ongoing LLM fine-tuning and classification initiatives.
2025 - Present