AI Speech & Audio Specialist
New
T
TELUS DigitalSpeech AI
BrazilContract
Salary6 - 40 USD per hour
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Job Details
- Languages
- English proficiency sufficient to understand technical instructions and project guidelines; native-level proficiency (C1/C2+) in the required language is preferred for language-specific projects.
Requirements
- Have a bachelor's degree or equivalent experience in audio engineering, sound engineering, music technology, linguistics, phonetics, speech-language pathology, computational linguistics, computer science with a speech/AI focus, or a related audio or speech field; alternatively, have relevant professional experience.
- Relevant professional experience may include audio production, sound design, dialogue editing, voice recording, podcast/audio post-production, speech data creation, or AI speech projects.
- Have experience with at least one professional audio tool, such as Adobe Audition, iZotope RX, Pro Tools, Reaper, Audacity, Logic Pro, Cubase, or another DAW.
- Know audio editing and restoration, noise reduction, speech segmentation, spectrogram analysis, audio quality assessment, and voice/audio processing workflows.
- Be able to identify pronunciation, accent, and linguistic nuances.
- Have English proficiency sufficient to understand technical instructions and project guidelines.
- Native-level proficiency (C1/C2+) in the required language is preferred for language-specific projects.
- Complete a subject-specific qualification assessment and, where applicable, a practical audio/speech evaluation.
Responsibilities
- Evaluate AI-generated TTS speech for naturalness, pronunciation, rhythm, tone, emotion, and voice quality.
- Review ASR outputs and identify transcription errors, pronunciation issues, accents, and linguistic nuances.
- Edit audio through segmentation, trimming, noise reduction, silence adjustment, and quality enhancement.
- Analyze audio recordings with waveform and spectrogram-based tools to identify quality issues.
- Create and validate speech datasets for AI model training and evaluation.
- Review voice recordings for clarity, consistency, articulation, and technical quality.
- Check loudness, background noise, clipping, distortion, and export specifications.
- Support TTS, ASR, voice generation, voice similarity, voice mimicry, and conversational AI evaluation projects.
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