Remote French TTS Audio Engineer - Contract

mercor; Schweiz; Remote; CHF 48,000 - 66,000; Full time

Job summary

Mercor is seeking an Audio Engineer (Speech / TTS Audio Specialist) for French to edit and optimize voice data for AI training. This remote contract role focuses on delivering high‑quality recordings for ML pipelines.

Responsibilities include editing, silence trimming, breath reduction, de‑clicking, de‑essing, noise reduction, and QA for clipping, distortion and loudness. Requirements: native or near‑native French, ability to handle large audio datasets, and hands‑on experience with iZotope RX

Qualifications

• 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.
• Hands-on experience with iZotope RX and Pro Tools.

Responsibilities

• 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.
• Ensure audio meets strict technical specifications for ML training pipelines.
• Evaluate recordings for French pronunciation accuracy, naturalness, and fluency .
• Collaborate with teams working on French speech datasets and model training workflows.

Skills

French fluency

Speech editing

Audio quality standards

Artifact detection

High-volume datasets

Tools

iZotope RX

Pro Tools

Job description

Mercor is seeking an Audio Engineer (Speech / TTS Audio Specialist) for French to edit and optimize voice data for AI training. This remote contract role focuses on delivering high‑quality recordings for ML pipelines.

Responsibilities include editing, silence trimming, breath reduction, de‑clicking, de‑essing, noise reduction, and QA for clipping, distortion and loudness. Requirements: native or near‑native French, ability to handle large audio datasets, and hands‑on experience with iZotope RX