Tamil Speech & Audio AI Specialist

TELUS Digital AI Data Solutions; Tamil Nadu; On-site; INR 600,000 - 1,200,000; Full time

Job summary

You will apply phonetics and linguistics to handle accents and languages, work with professional audio tools, and support TTS/ASR projects with rigorous QA and documentation for model improvement.

Qualifications

• Bachelor degree or 2+ years in audio and AI speech projects or related field.
• Native-level Tamil required for pronunciation and linguistic accuracy.
• Professional English for documentation and technical instructions.

Responsibilities

• Evaluate AI-generated speech (TTS) for naturalness, pronunciation, rhythm, tone and emotion.
• Identify transcription errors and linguistic nuances in ASR outputs.
• Analyze audio using waveform and spectrogram tools to identify quality issues.
• Provide structured feedback for model improvement.
• Apply audio restoration techniques to optimize speech samples.
• Prepare and validate speech content for training pipelines.
• Apply phonetics and linguistics expertise to identify speech variations across accents.
• 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 and document findings for model improvement.

Skills

Tamil language proficiency

Audio quality assessment

Linguistics knowledge

Phonetics expertise

Education

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

2+ years in audio production or AI speech projects

Tools

Adobe Audition

iZotope RX

Pro Tools

Audacity

Logic Pro

Job description

As a Tamil 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 Tamil (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