Urdu Speech & Audio AI Specialist

Telus International Ai Inc; India; Remote; INR 600.000 - 900.000; Vollzeit

Zusammenfassung

Telus International Ai Inc. is seeking an Urdu Speech & Audio AI Specialist to evaluate and validate voice AI systems, ensuring natural-sounding speech and accurate ASR outputs.

You will contribute to high-quality datasets and training pipelines. The role requires native Urdu proficiency and solid English skills, with hands-on experience using professional audio tools to assess and improve voice data across accents and languages.

Qualifikationen

• Bachelor's degree in Audio Engineering, Sound Engineering, Linguistics, Phonetics, Speech-Language Pathology, Computational Linguistics, or CS (Speech/AI focus) OR 2+ years in audio production, dialogue editing, voice recording, or AI speech projects.
• Native-level Urdu (C1/C2+) – Required for pronunciation and linguistic accuracy
• Professional English (B1+) – Required for technical instructions and documentation
• Hands-on experience with at least one professional audio tool: Adobe Audition, iZotope RX, Pro Tools, Reaper, Audacity, Logic Pro, Cubase, or equivalent DAW
• Assessment & Verification: qualification assessment and IDV process required

Aufgaben

• Evaluate AI-generated speech (TTS) for naturalness, pronunciation, rhythm, tone, and emotion
• Identify translation errors, pronunciation issues, and linguistic nuances in ASR outputs
• Conduct audio quality checks (loudness, noise, clipping, distortion, compliance)
• Analyze audio using waveform and spectrogram tools to identify quality issues
• Provide structured feedback for model improvement
• Perform professional audio editing (segmentation, trimming, noise reduction, enhancement)
• Prepare and validate speech content for training pipelines
• 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
• 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

Kenntnisse

Urdu language proficiency

English language proficiency

Ausbildung

Bachelor's degree in Audio Engineering / Linguistics / Speech/AI related field or Computer Science (Speech/AI focus)

Tools

Adobe Audition

iZotope RX

Pro Tools

Reaper

Audacity

Logic Pro

Cubase

Jobbeschreibung

About the Role

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 tran ion errors, pronunciation issues, and linguistic nuances in speech recognition (ASR) outputs
• Conduct audio quality checks (loudness, noise, clipping, distortion, compliance)
• Analyze audio using waveform and spectrogram tools to identify quality issues
• Provide structured feedback for model improvement

Audio Editing & Technical Proficiency

• Perform professional audio editing (segmentation, trimming, noise reduction, enhancement)
• 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

Assessment & Verification Requirements

Completion of subject-specific qualification assessment (practical audio/speech evaluation)

Identity verification (IDV) process – Required as soon as possible after application completion