Hindi Speech & Audio AI Specialist

TELUS Digital AI Community; Jaipur; On-site; INR 700,000 - 1,100,000; Full time

Job summary

TELUS Digital AI Community seeks a Hindi Speech & Audio AI Specialist to evaluate and validate speech AI systems, ensuring natural TTS voices, accurate ASR transcription, and high-quality training datasets.

You will work with audio engineers to identify issues, annotate data, and provide actionable feedback to improve voice AI models. Native Hindi and strong English documentation are required.

Qualifications

• Bachelor’s degree or 2+ years in audio production, podcast/post-production, or AI speech projects.
• Native-level Hindi required; professional English for documentation.
• Hands-on with professional audio tools and audio quality assessment.

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 and dataset quality.

Skills

Hindi fluency

English proficiency

Linguistics knowledge

Audio quality assessment

Education

Bachelor's degree in Audio Engineering / Linguistics / Speech AI (or related)

Tools

Adobe Audition

iZotope RX

Pro Tools

Audacity

Job description

As a Hindi 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 Hindi (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