AI Annotation and Evaluation Specialist (as part of Data Scientist/Engineer roles)
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I evaluated AI-generated textual outputs for accuracy, coherence, and factual correctness as part of model improvement workflows. My responsibilities included annotating and categorizing NLP datasets used in training and validating LLMs. Structured feedback was provided to identify inconsistencies, hallucinations, and edge cases in model outputs. • Reviewed AI-generated content for quality
• Adhered to strict annotation guidelines
• Contributed to development of labeling protocols
• Helped improve model performance through structured evaluations
I evaluated AI-generated textual outputs for accuracy, coherence, and factual correctness as part of model improvement workflows. My responsibilities included annotating and categorizing NLP datasets used in training and validating LLMs. Structured feedback was provided to identify inconsistencies, hallucinations, and edge cases in model outputs. • Reviewed AI-generated content for quality • Adhered to strict annotation guidelines • Contributed to development of labeling protocols • Helped improve model performance through structured evaluations
2021 - Present