Urdu Speech & Audio AI Specialist

TELUS Digital AI Data Solutions; India; On-site; INR 900,000 - 1,800,000; Full time

Job summary

TELUS Digital AI Data Solutions in India is seeking an Urdu Speech & Audio AI Specialist to evaluate and validate speech systems, ensuring natural TTS, accurate ASR, and high-quality datasets. You will influence millions of voice experiences across products.

You will apply phonetics, linguistics, and audio tools to assess pronunciation, accents, and linguistic nuances, while supporting dataset creation and model improvements. An IDV process is required after application.

Qualifications

• Native-level Urdu (C1/C2+) required for pronunciation accuracy.
• Professional English (B1+) required for technical instructions.
• Hands-on with pro audio tools and audio quality assessment.

Responsibilities

• Evaluate AI-generated speech for naturalness, pronunciation, rhythm, tone and emotion.
• Identify transcription and pronunciation issues in ASR outputs.
• Analyze audio using waveform and spectrogram tools for quality issues.
• Provide structured feedback for model improvement.
• Apply audio restoration techniques and validate content for training pipelines.
• Assist in dataset creation and validation for speech AI projects.

Skills

Urdu language

English language

Education

Bachelor's degree in Audio Engineering / Linguistics / Speech AI

2+ years experience in audio production / AI speech projects

Tools

Adobe Audition

iZotope RX

Pro Tools

Reaper

Audacity

Logic Pro

Cubase

Job description

As a Urdu Speech & Audio AI Specialist in our Global AI Community, you evaluate and validate speech AI systems—ensuring machine-generated voices sound natural, speech recognition captures intent accurately, and voice AI models learn from high-quality datasets. Your work directly impacts millions of users' voice-based AI experiences.

What You'll Do

Audio Evaluation & Quality Assessment

• Evaluate AI-generated speech (TTS) for naturalness, pronunciation, rhythm, tone, and emotion
• Identify transcription errors, pronunciation issues, and linguistic nuances in speech recognition (ASR) outputs
• Analyze audio using waveform and spectrogram tools to identify quality issues
• Provide structured feedback for model improvement

Audio Editing & Technical Proficiency

• Apply audio restoration techniques to optimize speech samples
• Prepare and validate speech content for training pipelines

Speech Linguistics & Dataset Validation

• Apply phonetics and linguistics expertise to identify speech variations across accents and languages
• Review voice recordings for clarity, consistency, and technical quality
• Support creation and validation of high-quality speech datasets
• Perform audio annotation and labeling for dataset integrity

Voice AI Project Support

• Support TTS, ASR, voice similarity, voice generation, and conversational AI evaluation projects
• Contribute to quality assurance workflows for voice technology projects
• Document findings to inform model improvement

Qualification path

Mandatory Qualifications

Education / Professional Background

• One of the following:
• Bachelor's degree in Audio Engineering, Sound Engineering, Music Technology, Linguistics, Phonetics, Speech-Language Pathology, Computational Linguistics, or Computer Science (Speech/AI focus)
• OR 2+ years professional experience in: audio production, dialogue editing, voice recording, podcast/audio post-production, speech dataset creation, or AI speech projects

Language Requirements

• Native-level Urdu (C1/C2+) – Required for pronunciation and linguistic accuracy
• Professional English (B1+) – Required for technical instructions and documentation

Technical Competency

• Hands-on experience with at least one professional audio tool: Adobe Audition, iZotope RX, Pro Tools, Reaper, Audacity, Logic Pro, Cubase, or equivalent DAW
• Working knowledge of: audio editing/restoration, noise reduction, spectrogram analysis, waveform interpretation, and audio quality assessment
• Completion of subject-specific qualification assessment (practical audio/speech evaluation)
• Identity verification (IDV) process – Required as soon as possible after application completion