ekemini oyo

I’m an AI Data Quality Specialist and QA Expert focused on auditing, reviewing, and validating annotated data for AI and machine learning systems. I bring a detail-driven approach to finding errors, inconsistencies, and guideline violations—especially in large-scale datasets that must stay reliable for downstream training.

Over the last 4+ years of freelance remote work, I’ve audited hundreds of annotation tasks across text, image, and AI-response datasets. I consistently apply evaluation criteria and rubrics to maintain 95%+ accuracy, and I deliver structured audit reports that help remote teams improve annotation pipelines and overall quality.

Before that, I supported community and content quality through content evaluation against strict guidelines, including scoring and ranking web search results for relevance, accuracy, and quality. I enjoy working independently in fully remote environments, collaborating with managers to resolve edge cases, and maintaining consistent standards through clear documentation and feedback.