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TranscriptionI am an AI Training contributor with hands-on experience in data annotation and localization, focusing on conversational AI and language data quality. I have successfully contributed to Luel conversational tasks, where I evaluated and refined interactive dialogue flows, and worked on the Silencio Yoruba script reading project, ensuring precise audio-to-text alignment and linguistic accuracy. I bring strong attention to detail, a deep understanding of natural language patterns, and a commitment to delivering high-quality datasets that improve LLM performance.
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Data CollectionContributed to the training and optimization of large language models through high-quality conversational data labeling.Adhered to strict annotation guidelines to maintain data integrity, helping to reduce model hallucinations and improve conversational naturalness.
AudioTranscriptionParticipated in a regional AI localization project focused on enhancing Automatic Speech Recognition (ASR) models for the Yoruba language. Responsibilities included high-fidelity script reading, audio data collection, and verifying text-to-speech alignment. Focused heavily on linguistic accuracy, proper tonal pronunciation, and dialectal clarity to ensure high-quality training inputs for speech-to-text systems.
Bachelor's Degree, Applied Gelogy
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