Comfort Limata

At Yenda, I annotated high volumes of images against strict client guidelines for AI/ML training datasets, consistently meeting daily quality and throughput targets.

I've also reviewed annotated data against detailed rubrics for accuracy, fidelity, placement, and realism. I identify recurring error patterns, provide structured feedback, and flag ambiguous edge cases rather than guessing to help reduce downstream QA errors.

As a freelance developer, I've built database-driven software systems and understand how clean, structured data supports reliable products. I'm comfortable working independently in fully remote, async environments and quickly learning new tools and guidelines.