Olga Dolgova is a bilingual data annotator and AI training specialist with over a decade of experience in data annotation, localization QA, content evaluation, and software testing. She combines certified translator/editor expertise (ATA) and near-native English, professional Swedish and German, and native Russian skills to deliver precise linguistic and UX-focused quality assurance. Olga has contributed to improving large language models and automated transcription/translation systems through hands-on annotation and evaluation across audio, video, image, and text modalities. Her technical toolkit includes Java, JavaScript, and SQL, enabling her to blend linguistic insight with practical tooling and testing workflows. Based in Alexandria, Virginia, she brings rigorous research and analytical strengths honed at projects for Dropbox, Google search evaluation, and multiple AI training vendors. An understated asset is her ability to translate nuanced language quality findings into actionable engineering feedback that improves model and product behavior.
10 years of coding experience
1 year of employment as a software developer
Degree cum laude, Degree cum laude at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
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