Prompt–Response Evaluation for LLMs
Assessed AI model responses across dimensions such as clarity, truthfulness, tone, localisation, and instruction-following.
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I have experience working in AI training data and data lebeling on text classification, PII tagging, and LLM respinse evaluation across different domains, ensuring that AI models learn to handle language accurately and responsibly. I also have experience working on LLM alignment and evaluation, reviewing model outputs for clarity, correctness, tone, and reasoning quality. I am detail-focused, reliable, and committed to produce high-quality training data for NLP and AI systems.
Assessed AI model responses across dimensions such as clarity, truthfulness, tone, localisation, and instruction-following.
Rated and corrected bilingual machine translations from English to Chinese for accuracy, tone, and context preservation.
Annotated large datasets for PII detection and categorisation, following strict taxonomy and privacy guidelines.
Created and verified reasoning traces for AI model training in arithmetic and algebraic problem solving.
Bachelor's in Computer Science, Computer Science
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