Creative Audio Engineer

Job Description: Combining traditional audio engineering expertise with AI driven workflows to create high end, next generation voice and sound content. We are seeking a Creative Audio Engineer who can bridge creative sound design, technical audio workflows, and emerging AI voice technologies. This role involves owning the full audio pipeline, from data curation and audio cleanup to mix and mastering and AI voice model training. You will work closely with creative teams, AI engineers, and production to ensure audio outputs meet professional broadcast and cinematic standards. You will help define best practices, iterate on models, and deliver polished final assets. Responsibilities: Own the end to end audio workflow, from raw recordings to final mastered outputs Perform professional editing, cleanup, restoration, mix, and mastering across dialogue, voice, and sound assets Curate, clean, annotate, and structure high quality audio datasets for AI voice model training Train, operate, and iterate on AI voice models across text to speech and voice to voice systems Evaluate model outputs critically and refine datasets, prompts, and processing to improve voice quality Act as the audio quality gatekeeper, ensuring consistency, clarity, and realism across all deliverables Collaborate closely with AI engineers, developers, and creative teams to align technical outputs with creative intent Define and document audio standards, workflows, and best practices Troubleshoot complex audio and pipeline issues across different tools and formats Stay current with emerging audio, voice AI, and production technologies and contribute to R&D efforts Must Have: Strong background as a professional audio engineer in film / post-production Deep hands on experience with Pro Tools or Reaper Strong holistic understanding and skill in usage of Izotope RX Strong understanding of and ability to read spectograms Strong ability to restore damaged and sub-optimal audio Solid understanding of gain staging, loudness standards, and broadcast delivery specs Strong knowledge of EQ, compression, dynamics and mastering practices Clear understanding of audio formats, sample rates, bit depth, and codecs Proven experience and skill cleaning and preparing audio for broadcast and film including noise reduction and forensic artifact removal Technical mindset with the ability to learn and operate AI driven audio tools Extreme attention to detail and strong critical listening skills Comfortable working in iterative pipelines with versioning and feedback loops Strong communication skills and ability to collaborate across creative and technical teams Nice to Have: Experience training or working with AI voice models Familiarity with dataset preparation for machine learning Background in AI assisted media or experimental audio workflows Experience with speech, dialogue, or voice centric productions Understanding of phonetics, accents, and performance variation Basic scripting or technical tooling experience such as Python or command line tools Experience with Git or GitHub