Finnish Speech & Audio AI Specialist

TELUS Digital AI Data Solutions; Stockholms län; On-site; SEK 700,000 - 950,000; Full time

Job summary

TELUS Digital AI Data Solutions in Sweden is seeking a Finnish Speech & Audio AI Specialist to evaluate and validate AI systems, ensuring natural TTS voices and accurate ASR outputs. You will influence millions of voice-based experiences through high-quality data and rigorous testing.

You will work on audio evaluation, editing, linguistics, dataset validation, and project support, applying phonetics, noise reduction, and spectrogram analysis, with a focus on Finnish pronunciation and English

Qualifications

• Bachelor's degree in Audio Engineering, Linguistics, CS (Speech/AI focus) or 2+ years in related AI speech projects.

Responsibilities

• Evaluate AI-generated speech 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 to identify accent variations.
• 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

Finnish language

English proficiency

Audio analysis

Linguistics

Pronunciation

Education

Bachelor's degree in Audio Engineering / Linguistics / CS (Speech/AI focus)

2+ years in audio production / AI speech projects

Tools

Adobe Audition

iZotope RX

Pro Tools

Reaper

Audacity

Logic Pro

Cubase

Job description

As a Finnish 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 Finnish (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