AI Speech & Audio Specialist (ASR | TTS | Voice AI | Audio Processing)
Part-time
TELUS International
About the Role:
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 voice experiences.
Vacancy posted 13 days ago
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