Danish Speech & Audio AI Specialist - Voice Quality QA

TELUS Digital AI Data Solutions; Norway; On-site; NOK 700,000 - 1,000,000; Full time

Job summary

TELUS Digital AI Data Solutions is seeking a Danish Speech & Audio AI Specialist to evaluate and validate AI-driven speech systems. You will assess naturalness, pronunciation, and tonal quality, and provide actionable feedback for model improvements.

You will work with ASR outputs, TTS quality, and dataset validation, applying phonetics expertise across accents and languages to ensure high-quality speech datasets.

Qualifications

• Native-level Danish (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 (e.g., DAW)
• Completion of subject-specific qualification assessment (practical audio/speech evaluation)

Responsibilities

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

Skills

Audio evaluation

Linguistics expertise

Dataset validation

Audio quality assessment

Education

Bachelor's degree in Audio Engineering / related field

Tools

Adobe Audition

iZotope RX

Pro Tools

Reaper

Audacity

Logic Pro

Cubase

Job description

TELUS Digital AI Data Solutions is seeking a Danish Speech & Audio AI Specialist to evaluate and validate AI-driven speech systems. You will assess naturalness, pronunciation, and tonal quality, and provide actionable feedback for model improvements.

You will work with ASR outputs, TTS quality, and dataset validation, applying phonetics expertise across accents and languages to ensure high-quality speech datasets.