AI Data Annotator (LLM Evaluation & Text Labeling)
TextPrompt Response Writing SFT
Worked on AI training and data annotation projects focused on improving large language model (LLM) performance. Tasks included text classification, sentiment analysis, and prompt-response evaluation based on predefined quality guidelines.
Reviewed and labeled AI-generated outputs for accuracy, relevance, coherence, and safety compliance. Identified edge cases and inconsistencies, contributing to improved model behavior and response quality.
Maintained high annotation accuracy while handling high-volume tasks, ensuring consistency across datasets. Collaborated with evolving guidelines and participated in quality control processes to meet project standards.
Worked on AI training and data annotation projects focused on improving large language model (LLM) performance. Tasks included text classification, sentiment analysis, and prompt-response evaluation based on predefined quality guidelines. Reviewed and labeled AI-generated outputs for accuracy, relevance, coherence, and safety compliance. Identified edge cases and inconsistencies, contributing to improved model behavior and response quality. Maintained high annotation accuracy while handling high-volume tasks, ensuring consistency across datasets. Collaborated with evolving guidelines and participated in quality control processes to meet project standards.
2026 - Present