My Bio.

Baderinwa Anthony is a seasoned Data Annotator and AI Analyst with over two years of hands-on experience in data labeling, annotation strategy, and model training support across diverse AI use cases. He has worked with both local and international teams, including contributing as a data annotator at Hugo, where he played a vital role in preparing high-quality datasets for machine learning pipelines.

Anthony’s annotation expertise spans text, image, audio, and video modalities. His project portfolio includes tasks such as intent classification for chatbots, bounding box labeling for self-driving car vision systems, entity recognition for medical datasets, and quality assurance for sentiment analysis models. At Hugo, he was entrusted with critical assignments requiring deep attention to annotation consistency, edge-case handling, and inter-annotator agreement standards.

In addition to his role at Hugo, Anthony is the founder of BindianCrea8, a growing hub for AI data analysis and annotation services. Through BindianCrea8, he’s led various collaborative projects, offering annotation support for startups, research teams, and AI labs seeking reliable, human-in-the-loop data refinement.

Anthony brings to the table not only technical skill but also a thoughtful, research-driven approach to data annotation — balancing precision, efficiency, and empathy. He is committed to the ethical development of AI and continuously seeks opportunities to train smarter, fairer, and more inclusive systems.