German Speech and TTS Audio Engineer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover specialized projects, showcase their experience, and grow a lasting portfolio in a rapidly developing technology industry.

Creating an OpenTrain account is free, giving you a practical way to build your profile and apply for AI training opportunities that match your skills.

About AI Speech Training Work

Speech and text-to-speech systems depend on carefully prepared, reviewed, and evaluated audio. Human experts help AI learn to produce speech that is clear, technically consistent, natural, and linguistically accurate.

This work combines audio production expertise with quality evaluation for machine-learning data workflows. Your contribution can directly influence how modern speech and voice AI systems perform.

The Role

OpenTrain AI is seeking a German Speech and TTS Audio Engineer to prepare and evaluate voice recordings used in speech and text-to-speech systems. You will combine hands-on audio restoration with detailed quality assurance across large batches of recordings.

The role focuses on improving audio clarity, consistency, and technical compliance while assessing German pronunciation, naturalness, and fluency. This is a remote, part-time contractor opportunity for contributors available to work 20 or more hours per week.

• Pay: $50 USD per hour
• Schedule: 20+ hours per week
• Work arrangement: Remote and worldwide
• Engagement: Part-time contractor
• Experience level: Entry level

What You'll Do

You will process German voice recordings for speech and TTS applications, applying audio restoration techniques and structured quality checks. The work requires consistent attention to detail and the ability to maintain quality and throughput across high-volume batches.

• Edit and process German voice recordings for speech and text-to-speech applications.
• Trim silence and reduce or remove breaths where appropriate.
• Apply de-clicking, de-essing, and noise reduction.
• Check recordings for clipping, distortion, background noise, artifacts, loudness consistency, and level balance.
• Apply technical standards required by machine-learning training pipelines.
• Evaluate German pronunciation, fluency, and naturalness in human voice recordings.
• Maintain consistent quality and throughput across large recording batches.

Required Skills and Experience

You should have native or near-native German fluency and strong critical listening skills for German speech. Professional experience editing speech or voice recordings is essential; experience limited to music production alone does not meet the role's focus.

You will need practical knowledge of recorded-dialogue defects, speech audio quality standards, and audio restoration workflows. Experience with high-volume audio datasets or structured production environments is also required.

• Native or near-native German fluency with strong listening intuition for pronunciation, naturalness, and fluency.
• Professional experience editing speech or voice recordings rather than only music.
• Practical knowledge of silence trimming, breath reduction, de-clicking, de-essing, and noise reduction.
• Ability to diagnose and correct clipping, distortion, artifacts, loudness inconsistencies, and other dialogue defects.
• Experience with iZotope RX, Pro Tools, or comparable audio restoration software.
• Experience working with high-volume audio datasets or structured production workflows.

Helpful Background

The following experience can be useful when working on German speech and TTS data, although it is described as helpful rather than required.

• Experience with TTS platforms or speech machine-learning projects.
• Background in voice AI, dataset creation, or data annotation.
• Experience with audio quality assurance pipelines or evaluation processes.
• Experience with labeling or structured review workflows.
• German voice talent direction experience.

Why Work in AI Training

AI training and data labeling are the human side of building artificial intelligence. Contributors prepare and review the examples that help modern models understand language, audio, images, and other forms of information.

Speech specialists can work remotely with flexible schedules while contributing to cutting-edge systems. This role offers a way to apply professional audio skills to a fast-growing area of technology and build credible experience in AI training.