Indonesian-Speaking : AI Speech & Audio Specialist

TELUS Digital AI Community; Jakarta Pusat; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

TELUS Digital AI Data Solutions is seeking an Indonesian Speech & Audio AI Specialist to evaluate and validate speech AI systems, ensuring natural-sounding voices and accurate recognition. You will also validate datasets and support model improvements across TTS, ASR, and voice generation projects.

The role requires native Indonesian and professional English, hands-on experience with industry-standard audio tools, and a practical understanding of phonetics, linguistics, and data quality in AI

Qualifications

• Native-level Indonesian (C1/C2+) required for pronunciation and linguistic accuracy.
• Professional English (B1+) required for technical instructions and documentation.
• Bachelor's degree or 2+ years of professional experience in audio production, dialogue editing, or AI speech projects.

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.
• Review voice recordings for clarity and consistency.
• Support creation and validation of high-quality speech datasets.
• Perform audio annotation and labeling for dataset integrity.
• Support TTS, ASR, voice similarity, and conversational AI evaluation projects.
• Document findings to inform model improvement.

Skills

Speech evaluation

Audio editing

Linguistics

Education

Bachelor's degree in Audio Engineering or related field

Tools

Adobe Audition

iZotope RX

Pro Tools

Audacity

Logic Pro

Cubase

Job description

As an Indonesian 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

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 Indonesian (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

Qualification path

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

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