AI Data & Language Specialist (Multilingual QA Dataset Developer)
TextQuestion Answering
Developed structured multilingual question–answer datasets designed to test reasoning depth for AI models. Evaluated AI-generated responses for factual accuracy, clarity, and logical consistency. Applied cross-referencing methods to ensure data verifiability and minimize linguistic ambiguity. • Built and curated high-quality question–answer pairs for training and benchmarking multilingual AI. • Performed manual and automated assessments of dataset accuracy and logical integrity. • Conducted annotation and quality assurance to reduce hallucination risk in language models. • Incorporated authentic, culturally nuanced content for native Yoruba and English AI training.
Developed structured multilingual question–answer datasets designed to test reasoning depth for AI models. Evaluated AI-generated responses for factual accuracy, clarity, and logical consistency. Applied cross-referencing methods to ensure data verifiability and minimize linguistic ambiguity. • Built and curated high-quality question–answer pairs for training and benchmarking multilingual AI. • Performed manual and automated assessments of dataset accuracy and logical integrity. • Conducted annotation and quality assurance to reduce hallucination risk in language models. • Incorporated authentic, culturally nuanced content for native Yoruba and English AI training.
2022 - Present