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

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

OR

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 evaluation

• Speech recognition review