Shalom Napoleon

I’m a highly disciplined, detail-oriented Linguistic Data Annotator and Quality Analyst with a strong foundation in Computer Science and crowd-testing ecosystems. I evaluate complex digital content, validate text/media files for localized markets, and uncover localization flaws by following strict linguistic guidelines.

From my freelance work, I execute meticulous content evaluation and text correction cycles across web and mobile platforms, focusing on accurate, localized user experiences. I perform high-volume data annotation, categorization, and linguistic validation, and I’ve maintained a 92%+ Quality and Acceptance Rate while documenting inconsistencies and alignment issues.

I also bring proven crowd-testing expertise from evaluating early-stage conversational interfaces and regional tools for the West African market. I listen to and verify audio components, transcribe and verify user-submitted text and metadata strings, and collaborate with global teams to run sanity checks under tight deadlines.