Job description

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.

Qualification path

Mandatory Qualifications:

Education / Professional Background:

Minimum of one of the following:

Bachelor’s degree or equivalent experience in:
Audio Engineering
Sound Engineering
Music Technology
Linguistics
Phonetics
Speech-Language Pathology
Computational Linguistics
Computer Science (Speech/AI focus)
Related audio or speech fields

Professional experience in:

Audio production
Sound design
Dialogue editing
Voice recording
Podcast/audio post-production
Speech data creation
AI speech projects

Technical Experience:

Experience with at least one professional audio tool:

Adobe Audition
iZotope RX
Pro Tools
Reaper
Audacity
Logic Pro
Cubase
Other Digital Audio Workstations (DAWs)

Knowledge of:

Audio editing and restoration
Noise reduction
Speech segmentation
Spectrogram analysis
Audio quality assessment
Voice/audio processing workflows

Language Requirements:

Native-level proficiency (C1/C2+) in the required language is preferred for language-specific projects.
Ability to identify pronunciation, accent, and linguistic nuances.
English proficiency sufficient to understand technical instructions and project guidelines.

Preferred Qualifications:

Experience with:

Automatic Speech Recognition (ASR)
Text-to-Speech (TTS)
Voice AI
Speech datasets
Audio annotation
Voice cloning or voice mimicry projects
ADR / dubbing
Localization audio
Broadcast or media production
AI model evaluation

Assessment:

To join the TELUS Digital AI Community, candidates will complete:

Subject-specific qualification assessment
Practical audio/speech evaluation (where applicable)
Identity verification process

The assessment may include:

Audio quality evaluati

AI Speech & Audio Specialist – ASR | TTS | Voice AI | Audio Data at TELUS Digital