Remote Malay Speech AI Quality Engineer
TELUS Digital AI Community
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Benefits offered by this job
Job summary
TELUS Digital AI Community seeks an AI Speech Quality Specialist to evaluate and validate speech AI systems, focusing on naturalness of TTS, accuracy of ASR, and quality of datasets. You will work remotely as part of a 1M+ contributor network and support TTS, ASR, and voice similarity projects through detailed feedback and QA workflows.
Join a global team delivering high-quality speech solutions across languages, with flexible project-based engagement and ongoing opportunities to influence model
Qualifications
- Native-level Malay (C1/C2+) – Required for pronunciation and linguistic accuracy.
- Professional English (B1+) – Required for technical instructions and documentation.
- Bachelor's degree or 2+ years experience in audio fields or AI speech projects.
Responsibilities
- Evaluate AI-generated speech for naturalness, pronunciation and emotion.
- Identify transcription errors and linguistic nuances in ASR outputs.
- Analyze audio with waveform and spectrogram tools to spot quality issues.
- Provide structured feedback to improve models.
- Apply audio restoration to optimize samples.
- Prepare and validate speech content for training pipelines.
- Apply phonetics and linguistics to accent variation.
- Review recordings for clarity and technical quality.
- Support creation and validation of speech datasets.
- Annotate and label audio for dataset integrity.
- Support TTS, ASR, and voice similarity evaluation projects.
- Document findings to inform model improvements.
Skills
Education
Tools
Job description
TELUS Digital AI Community seeks an AI Speech Quality Specialist to evaluate and validate speech AI systems, focusing on naturalness of TTS, accuracy of ASR, and quality of datasets. You will work remotely as part of a 1M+ contributor network and support TTS, ASR, and voice similarity projects through detailed feedback and QA workflows.
Join a global team delivering high-quality speech solutions across languages, with flexible project-based engagement and ongoing opportunities to influence model
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