Eteka Ekanem

I’m an AI Trainer with strong expertise in data annotation, linguistic modeling (Yoruba/Hausa), and machine learning workflows. I improve AI model accuracy through high-quality dataset curation, evaluation, and feedback loops, combining strong Mathematics and Statistics with practical analytical problem-solving.

In my recent roles as an AI Data Trainer (uTest, 2022–2024) and AI Trainer (CrowdGen by Appen, 2021–2022), I performed data annotation and validation across multilingual datasets. I provided structured feedback and error analysis, collaborated with global teams to refine AI training pipelines, and conducted functional testing of AI-driven applications.

I’m especially focused on NLP tasks—ranging from speech and text labeling to sentiment analysis and language modeling—and I take quality seriously through quality assurance and performance benchmarking. I’ve contributed to multilingual AI model training, improving accuracy by over 20%, and I continue to bring attention to detail, consistency, and continuous learning to every labeling and evaluation cycle.