Olayinka Adebisi

I’m a detail-oriented Data Annotation Specialist with hands-on experience labeling, evaluating quality, and developing schemas for AI and machine learning pipelines. I focus on keeping annotation throughput high while maintaining consistency across complex tasks.

In my freelance/contract remote work since 2022, I’ve annotated thousands of text documents, images, and structured data for multiple AI projects. I partner with ML engineers to refine annotation schemas, and I create and maintain detailed SOPs so new annotators can onboard quickly without sacrificing quality.

I also perform quality audits on annotated batches—reaching >95% inter-annotator agreement on complex labeling—and I flag ambiguous edge cases with structured feedback to improve guidelines over time. I enjoy process improvement, logical thinking, and cross-functional collaboration, and I’m especially drawn to insurance technology work where my annotation and data-quality experience can directly strengthen robust AI pipelines.