Lukasz W.

I am a native Polish speaker specializing in AI transcription verification, ASR quality assurance, and audio annotation. My work goes beyond simple text correction — I focus on improving the accuracy, consistency, and usability of speech-to-text outputs and audio datasets. What I do: ASR Output Validation – reviewing and correcting AI-generated transcriptions for accuracy, punctuation, and readability Speaker Segmentation – identifying and differentiating speakers, including overlapping speech Audio Event Annotation – labeling non-verbal sounds such as laughter, coughing, throat clearing, and other audio events Medical Transcription Review – reviewing and correcting transcripts of doctor-patient conversations Quality Assurance & Dataset Refinement – identifying transcription and annotation errors and ensuring consistent results Why clients work with me: High attention to detail and consistency Native-level Polish and a strong understanding of spoken language Experience working with complex, multi-speaker audio Ability to follow detailed project guidelines accurately Experience handling large volumes of audio and transcription data Professional and deadline-driven approach My background also includes creating subtitles for films and TV series and writing about video games, which has strengthened my ability to work with dialogue, context, language, and written content. I focus on delivering accurate, consistent, and reliable results that meet project requirements and quality standards.