Oluwafemi Babasola

I’m a data annotation professional with hands-on expertise in text, image, and audio labeling, developed through rigorous practical training using Labelbox. I’ve delivered high-quality, consistent annotations at scale, demonstrated across 15,000+ practice annotations.

I apply disciplined QC methods to improve annotation accuracy, achieving a 10% improvement through instructor/peer review benchmarks. I also use iterative feedback workflows with cohort mentors to refine annotation guidelines and speed.

Beyond annotation, I’ve built strong data discipline through account management roles in the forex/CFD brokerage space. I analyze client trading behavior and market data, deliver consistent reporting, and maintain data accuracy and compliance across client records.

I’m also certified as an “AI Evaluation Analyst” (Gmind Academy), and I’m energized by work that turns careful labeling and evaluation into reliable AI training and performance.