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Language
Audio Engineer (Native English Language)
Why we like this role
This is language work with a sharper edge than generic translation. It rewards fluency, patience, and the ability to explain nuance in a way an AI system can actually learn from. The posted range is $40-95/hour.
About this opportunity
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Design, record, and edit high-fidelity audio for dubbing and voiceover projects, ensuring natural fluency and clarity in native English.
- Collaborate with localization and content teams to guarantee seamless integration of audio assets across multimedia deliverables.
- Oversee the technical workflow for audio post-production, including cleanup, mastering, and synchronization with video content.
- Apply expert knowledge of translation and adaptation processes for dubbing projects, maintaining authentic tone and context.
- Review, edit, and provide feedback on scripts and translated content to align with native English standards.
- Train and support AI models in audio processing tasks, ensuring that outputs meet native English language benchmarks.
- Maintain detailed documentation and effective written communication for project tracking and knowledge sharing.
Required Skills and Qualifications:
- Native English language proficiency with exceptional verbal and written communication abilities.
- Demonstrated expertise in professional audio engineering, including dubbing, voiceover, and audio editing.
- Strong experience in translation or adaptation of audio scripts, ensuring semantic and tonal accuracy.
- Advanced proficiency with industry-standard audio editing software and hardware.
- Proven ability to deliver high-quality work under deadlines and manage multiple projects remotely.
- Keen attention to detail, creativity, and a collaborative mindset.
- Experience supporting AI or machine learning initiatives related to audio or language.
Preferred Qualifications:
- Previous work as an AI trainer or in training data annotation for language models.
- Background in media localization, multilingual dubbing, or voiceover direction.
- Published audio work or portfolio demonstrating native English expertise and audio craftsmanship.
Required skills
- dubbing
- audio engineer
- voice over
- written communication
- translation
- editing
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