Audio Engineer (Speech / TTS Audio Specialist) – French
Mercor · 100% remote · Contract · Posted
- Pay
- $50/hr
- Location
- Worldwide
- Languages
- English, French
- Hours
- Flexible
- Openings
- Not listed
- Level
- Experienced
Summary
Edit and process French voice recordings for TTS and speech AI systems, including audio cleanup such as noise reduction, de-clicking, and level balancing. Perform quality assurance checks for clipping, distortion, and pronunciation accuracy.
What you'll do
- Edit and process French voice recordings for use in TTS and speech AI systems
- Perform audio cleanup including silence trimming, breath reduction, de-clicking, de-essing, and noise reduction
- Conduct detailed quality assurance checks for clipping, distortion, background noise, and loudness consistency
- Evaluate recordings for French pronunciation accuracy, naturalness, and fluency
- Work with large batches of recordings, maintaining consistency and throughput
- Collaborate with teams working on French speech datasets, voice talent recordings, and model training workflows
Requirements
- Native or near-native French speaker with strong listening intuition for French speech nuances
- Experience editing speech or voice recordings
- Strong understanding of speech audio quality standards and common issues
- Hands-on experience with iZotope RX, Pro Tools, or similar audio restoration software
- Ability to identify and fix artifacts, inconsistencies, and technical defects in audio
- Experience working with high-volume audio datasets or structured workflows
- Familiarity with audio QA pipelines, labeling, or evaluation processes
Skills
- Audio Editing
- iZotope RX
- Pro Tools
- Speech Quality Assurance
- Noise Reduction
- TTS Systems
- French Language
Full description
Overview We're looking for audio engineers with strong experience editing and quality-checking voice recordings for speech and text-to-speech (TTS) applications, specifically for French-language audio. This role focuses on preparing high-quality audio datasets for machine learning systems, ensuring clarity, consistency, and technical compliance across large volumes of French speech data. Native or near-native French fluency is required to accurately assess speech quality, pronunciation, and naturalness.
What You'll Do
Edit and process French voice recordings for use in TTS and speech AI systems
Perform audio cleanup including silence trimming, breath reduction/removal, de-clicking, de-essing, and noise reduction
Conduct detailed quality assurance checks for:
Clipping and distortion
Background noise and artifacts
Loudness consistency and level balancing
Ensure audio meets strict technical specifications for ML training pipelines
Evaluate recordings for French pronunciation accuracy, naturalness, and fluency
Work with large batches of recordings, maintaining consistency and throughput
Collaborate with teams working on French speech datasets, voice talent recordings, and model training workflows
Basic Qualifications
Native or near-native French speaker with strong listening intuition for French speech nuances
Experience editing speech or voice recordings (not just music production)
Strong understanding of speech audio quality standards and common issues in recorded dialogue
Hands-on experience with tools like iZotope RX, Pro Tools, or similar audio restoration software
Ability to identify and fix artifacts, inconsistencies, and technical defects in audio
Experience working with high-volume audio datasets or structured workflows
Preferred Qualifications
Experience working with TTS vendors or platforms
Prior involvement in speech ML, voice AI, or dataset creation/annotation workflows
Familiarity with audio QA pipelines, labeling, or evaluation processes
Experience directing or editing French voice talent recordings
Ideal Candidate Profile
Detail-oriented with strong critical listening skills in French
Comfortable working with repetitive, high-precision tasks at scale
Able to balance speed and quality in production environments
Familiar with the nuances of human French speech vs synthetic voice requirements
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