Janette Špilak

I am a multilingual AI, localization and content specialist with over a decade of combined experience in writing, journalism, translation and localization. I focus on AI training workflows, linguistic QA, MTPE/AIPE, data annotation and UX microcopy to improve product clarity and model performance.

I have translated 15,000+ words with 98% accuracy and routinely handled continuous batches of 800–3,000 words, developing glossaries and style guides to ensure consistency across projects. I also format bilingual institutional documents and manage DTP tasks with strict formatting rules.

As an AI trainer, annotator and prompt evaluator I conducted high-volume annotation and evaluation tasks, maintained 95% annotation accuracy, reviewed 150–300 text segments per session, and implemented feedback loops that enhanced model learning efficiency. I collaborated with cross-functional teams and supported platform-specific workflows in tools like Lilt, Crowdin, Lokalise, Smartcat and Smartling.

I have driven measurable content outcomes—boosting organic traffic and conversions through SEO copywriting, contributing to documentary production, and repeatedly earning long-term client retention through reliability, cultural sensitivity and meticulous linguistic quality.