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AI Speech & Audio Specialist – ASR | TTS | Voice AI | Audio Data

telus international ai inc·Worldwide·Malaysia·mid
mlai
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At TELUS Digital, we are advancing the future of Artificial Intelligence by helping AI systems understand, process, and generate human speech with greater accuracy and naturalness. As an AI Speech & Audio Specialist in our AI Community, you will contribute to the development and improvement of next-generation speech AI technologies, including Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Voice AI, and audio machine learning systems . We rely on our global community of specialists to evaluate, create, refine, and improve high-quality speech and audio datasets. Your expertise in audio production, speech analysis, linguistics, or voice technology will help ensure AI models deliver natural, accurate, culturally relevant, and human-like voice experiences. At TELUS Digital, you will play a key role in shaping how AI listens, understands, and communicates with people around the world. Key Responsibilities: Evaluate AI-generated speech (TTS) for naturalness, pronunciation accuracy, rhythm, tone, emotion, and overall voice quality. Review and improve speech recognition outputs (ASR) by identifying transcription errors, pronunciation issues, accents, and linguistic nuances. Perform professional audio editing tasks including segmentation, trimming, noise reduction, silence adjustment, and quality enhancement. Analyze audio recordings using waveform and spectrogram-based tools to identify quality issues. Support the creation and validation of high-quality speech datasets used for AI model training and evaluation. Review voice recordings for clarity, consistency, articulation, and technical quality. Perform audio quality checks including loudness levels, background noise detection, clipping, distortion, and export specifications. Support voice AI projects including TTS, ASR, voice generation, voice similarity, voice mimicry, and conversational AI evaluation. Apply expertise in phonetics, linguistics, audio engineering, or speech technology to improve AI-generated voi

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