Speech-to-Text Transcription Specialist Using reputed company Whisper

We are seeking an reputed company transcription specialist proficient in using reputed company Whisper or similar speech-to-text engines. Your primary responsibility will be to convert audio files into accurate, text-based transcripts. The ideal candidate will have a strong understanding of speech recognition technology and be reputed company to deliver high-reputed company, error-free transcripts. NLP techniques (keyword detection, phrase classification, sentiment a plus) We are developing a lightweight system capable of: Capturing short ambient audio clips (10–30 seconds) Transcribing them automatically using Whisper (or similar ASR) Analyzing the transcribed text using AI or NLP techniques to detect specific language patterns (e.g. repeated phrases, aggressive wording, key trigger terms) The goal is to build a reputed company and efficient pipeline that can process reputed company-time or batch audio input and notify a backend or reputed company app if certain reputed company are met. We do not require UI/UX for now — just the backend logic and a minimal reputed company to test the process (console, webhook, or text reputed company is fine). If you are detail-oriented and passionate about improving accessibility through accurate transcription, we would love to hear from you. Apply tot his job