Владимир Тихонов

I’m a high-volume Russian audio transcription and AI data annotation specialist with 2 years of outsourced experience on VK ecosystem projects. I complete large-scale, short-form microtasks with a strong focus on consistency, speed, and defensible annotation decisions.

In my work, I’ve completed approximately 200,000 short 5-10 second units, including verbatim transcription of Russian-language user-generated audio. I capture disfluencies, repetitions, false starts, fillers, and overlapping speech, while also annotating Voice Activity Detection (VAD), speaker turns, and speech/non-speech boundaries.

I prepare subtitles and transcripts for podcasts, interviews, talk shows, news, sports, calls, and voice messages. I’m especially careful with noisy recordings, low-quality microphones, accents, fast speech, and multi-speaker audio, using linguistic judgment to resolve ambiguity.

I also evaluate VK Video / Clips search results for relevance, intent satisfaction, content match, and user-query interpretation. My QA mindset and measurable accuracy around 99% help reduce errors across large-scale workflows.