AI Response Evaluation and Text Classification Project
OtherTextClassificationText Summarization
Conducted structured evaluation and annotation of AI-generated text responses to improve model accuracy, clarity, and adherence to task-specific guidelines. Tasks included classifying prompts by intent, rating AI outputs based on correctness, relevance, tone, and completeness, and rewriting responses to meet quality standards
Annotated and reviewed over 500+ text samples across multiple domains, ensuring consistent labeling and documentation of evaluation criteria. Followed detailed project guidelines to maintain high inter-annotator agreement and quality benchmarks. Maintained detailed logs of revisions, error patterns, and improvement recommendations to support model fine-tuning and response optimization
Conducted structured evaluation and annotation of AI-generated text responses to improve model accuracy, clarity, and adherence to task-specific guidelines. Tasks included classifying prompts by intent, rating AI outputs based on correctness, relevance, tone, and completeness, and rewriting responses to meet quality standards Annotated and reviewed over 500+ text samples across multiple domains, ensuring consistent labeling and documentation of evaluation criteria. Followed detailed project guidelines to maintain high inter-annotator agreement and quality benchmarks. Maintained detailed logs of revisions, error patterns, and improvement recommendations to support model fine-tuning and response optimization
2025