Audio Engineer, German
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Job Description
Audio Engineer editing and quality-checking German speech recordings for 24-MAG’s speech AI and text-to-speech workflows. Restoring audio, evaluating pronunciation, and preparing high-volume machine learning datasets.
Responsibilities:
- Edit and process German-language voice recordings for speech and text-to-speech applications
- Perform silence trimming, breath reduction or removal, de-clicking, de-essing, and noise reduction
- Correct technical defects while preserving natural speech characteristics
- Prepare clean, consistent recordings suitable for machine learning pipelines
- Work efficiently across large batches of speech audio
- Review recordings for clipping, distortion, background noise, unwanted artefacts, loudness consistency, and level balance
- Identify recording inconsistencies and technical defects
- Ensure audio conforms to defined technical and production specifications
- Evaluate German pronunciation, fluency, naturalness, and overall speech quality
- Identify unnatural pronunciation, articulation, pacing, or delivery
- Assess recordings for suitability within speech and TTS training workflows
- Work with structured speech datasets and large recording batches
- Collaborate with teams working on voice talent recordings and speech-model training
- Follow established audio QA, file-management, and evaluation processes
- Provide technical feedback on recordings requiring correction or replacement
Requirements:
- Native or near-native German fluency is required
- Professional experience editing speech or voice recordings is required
- Professional experience editing speech, dialogue, narration, or voice recordings
- Strong critical listening skills for German-language speech
- Practical knowledge of speech audio quality standards
- Experience identifying and correcting noise, clipping, distortion, clicks, sibilance, and related defects
- Hands-on experience with professional audio restoration or editing software
- Experience working with high-volume audio datasets or structured production workflows
- Strong attention to detail and ability to maintain consistent quality at scale
- Training in audio engineering, sound engineering, audio production, broadcast production, or a related discipline may be helpful
- Equivalent professional experience in speech editing, dialogue production, or audio post-production may also be considered
- Experience with iZotope RX, Pro Tools, or comparable audio restoration software
- Previous work with text-to-speech platforms or vendors
- Experience with speech ML, voice AI, or synthetic speech projects
- Familiarity with audio annotation or QA pipelines
- Experience preparing datasets for machine learning applications
- Background directing or editing German voice talent
- Knowledge of dialogue restoration and speech-specific post-production
- Experience assessing differences between natural and synthetic speech
Benefits:
- Fully remote work
- Flexible scheduling
- Weekly payments via Stripe or Wise
- Projects may be extended, shortened, or adjusted depending on scope and performance
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