Godswill Eboh

I’m an AI language and data annotation professional with over 3 years of experience supporting NLP, machine learning, and AI training initiatives through structured text annotation and linguistic quality control. I’m known for strong attention to detail, consistency in repetitive tasks, and the ability to work independently in remote, time-sensitive environments while staying fully aligned to strict client guidelines.

In my recent role as an AI Text Annotation Specialist (Remote), I performed large-scale English text annotation for NLP model training—classifying sentiment, intent, topic relevance, and linguistic features across varied domains. I consistently conducted detailed self-reviews and consistency checks, logged edge cases and ambiguities to support guideline refinement, and maintained productivity and quality benchmarks under deadline pressure. Previously, as a Language Data Quality Reviewer (Remote), I ensured semantic correctness and guideline adherence by identifying inconsistencies in sentiment polarity and category assignment, then providing structured feedback to improve inter-annotator agreement. I also bring strong academic grounding with an MSc in Computational Linguistics, including a focus on Human-in-the-Loop Annotation Strategies for improving NLP accuracy, and I’m comfortable using tools like Microsoft Excel and Microsoft Teams to track quality issues and collaborate effectively.