ASR & Transcription QA Specialist

We are looking for experienced ASR & Transcription QA Specialists to support high-fidelity Automated Speech Recognition (ASR) benchmarking and transcript quality evaluation. The role involves reviewing and correcting machine-generated transcripts, identifying transcription errors, performing speaker diarization, handling overlapping conversations, and ensuring high levels of accuracy and adherence to transcription guidelines. Key Responsibilities Long-Form ASR Review: Review and rectify machine-generated transcripts across diverse audio qualities, background noise profiles, and non-standard acoustics. WER Reduction & Error Tagging: Identify, categorize, and correct substitution, insertion, and deletion errors to drive models toward sub-3% Word Error Rates. Speaker Diarization & Audio Segmentation: Apply precise speaker labeling, handle rapid conversational turn-taking, and accurately capture overlapping speech and cross-talk. Disfluency & Paralinguistic Formatting: Accurately capture false starts, stutters, filler words, vocalized pauses, and non-verbal acoustic markers based on verbatim protocols. Style Guide & Convention Adherence: Switch seamlessly between strict verbatim and clean-read conventions across specialized domain glossaries. OCR & Narrative QA Support: Cross-reference extracted text from unstructured document images and video captions to ensure complete semantic and character fidelity. Candidate Requirements 2-3+ years of professional experience in Transcription, Captioning, Subtitling, or related transcription services . Strong experience in reviewing and editing audio transcripts. Typing speed of 65+ WPM with 99% accuracy . Familiarity with Word Error Rate (WER), timecoding, speaker diarization, and transcription style guides . Strong English listening comprehension and written communication skills . Experience with professional transcription tools will be an added advantage. #J-18808-Ljbffr Innodata India