Job Summary:

Join our customer’s team as a highly skilled Audio Engineer (Native English Language) and elevate voiceover, dubbing, and audio production quality in innovative projects. This role is ideal for audio engineering experts passionate about linguistic precision, creative audio solutions, and AI training, all while leveraging your expertise as a native English speaker.

Key Responsibilities:

1. Design, record, and edit high-fidelity audio for dubbing and voiceover projects, ensuring natural fluency and clarity in native English.
2. Collaborate with localization and content teams to guarantee seamless integration of audio assets across multimedia deliverables.
3. Oversee the technical workflow for audio post-production, including cleanup, mastering, and synchronization with video content.
4. Apply expert knowledge of translation and adaptation processes for dubbing projects, maintaining authentic tone and context.
5. Review, edit, and provide feedback on scripts and translated content to align with native English standards.
6. Train and support AI models in audio processing tasks, ensuring that outputs meet native English language benchmarks.
7. Maintain detailed documentation and effective written communication for project tracking and knowledge sharing.

Required Skills and Qualifications:

1. Native English language proficiency with exceptional verbal and written communication abilities.
2. Demonstrated expertise in professional audio engineering, including dubbing, voiceover, and audio editing.
3. Strong experience in translation or adaptation of audio scripts, ensuring semantic and tonal accuracy.
4. Advanced proficiency with industry-standard audio editing software and hardware.
5. Proven ability to deliver high-quality work under deadlines and manage multiple projects remotely.
6. Keen attention to detail, creativity, and a collaborative mindset.
7. Experience supporting AI or machine learning initiatives related to audio or language.

Preferred Qualifications:

1. Previous work as an AI trainer or in training data annotation for language models.
2. Background in media localization, multilingual dubbing, or voiceover direction.
3. Published audio work or portfolio demonstrating native English expertise and audio craftsmanship.