Audio Engineer (Speech / TTS Audio Specialist) – French

$50/hr

43 people hired

RemoteGlobalTechnology3-5 YearsContractPosted Aug 14, 2026

About this role

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.

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

Responsibilities

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

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.