Loft 2.0 Audio Transcription & Data Annotation for AI Training (Prosessor.AI)
As a Loft 2.0 Transcriber and Annotator at Prosessor.AI Data & Language Services (freelance, Türkiye), I performed high-precision audio-to-text transcription to create structured training datasets for AI and machine learning models. Using the Loft 2.0 platform, I processed conversations, interviews, and multilingual audio, delivering accurate timed transcripts with speaker identification, punctuation, and contextual notes as needed. The work supported large-scale datasets for speech recognition, NLP, and generative AI, often requiring localization for linguistic and cultural accuracy. I maintained >98% transcription accuracy per platform guidelines, followed detailed style guides, conducted self-reviews, and incorporated QA feedback to ensure consistency and low rejection rates. This contributed reliable ground-truth data for ASR models, voice assistants, and multilingual LLMs. My attention to detail and experience with accented and multilingual audio enabled consistent delivery.