I train AI to understand human language — including the languages most AI systems get wrong. As a multilingual AI data specialist based in Ghana, I work across the full data pipeline: from prompt design and RLHF annotation to translation evaluation, speech transcription, and content classification. I don't just label data — I understand why the label matters for model behavior. My edge is rare: I'm one of a small number of specialists who can deliver high-quality, culturally grounded annotation in Twi (Akan), Ga, and Ghanaian Creole Pidgin — languages severely underrepresented in global AI training data. I've applied that expertise across platforms including Amazon SageMaker Ground Truth, Doccano, and Label Studio, contributing to speech recognition, hate speech detection, and machine translation systems. What I bring to an AI team: — Deep understanding of NLP annotation workflows and quality frameworks — 98%+ accuracy track record across 4,500+ labeled items across multilingual datasets — Experience evaluating fluency, intent, tone, sentiment, and cultural relevance — AWS Certified Cloud Practitioner, with hands-on SageMaker experience I'm actively seeking full-time remote roles in AI data operations, NLP, or language technology — particularly with teams building inclusive, multilingual AI systems. 📩 Open to opportunities — let's connect:
tackienajib@gmail.com
