Audio Engineer (AI)

TL;DR

Audio Engineer (AI Audio): Creating and optimizing synthetic and human-enhanced voices for media production with an accent on high-quality voice cloning and dubbing. Focus on transforming raw audio into production-ready outputs using a blend of AI tools and professional DAW expertise.

Location: Remote (Must be based in the United States)

Company

A company focused on the intersection of AI audio technology and human creative expertise to redefine modern audio production workflows.

What you will do

• Create, refine, and customize synthetic and human-enhanced voices for client projects using advanced audio engineering and voice design techniques.
• Clean, edit, and optimize customer audio to ensure high-quality voice cloning, dubbing, and generation output across multiple languages.
• Collaborate with clients, creators, and stakeholders to translate creative and technical requirements into effective audio solutions.
• Provide technical guidance, training, and best practices on audio workflows and platform tools to support customer success.
• Conduct audio quality reviews, labeling, and evaluation tasks to maintain performance standards.
• Troubleshoot audio issues to improve the clarity, tone, and realism of generated voices.

Requirements

• 3–5+ years of experience in audio engineering, sound design, mixing, or mastering.
• Strong proficiency with DAWs such as Pro Tools, Reaper, Logic Pro, or Ableton Live.
• Experience working with creative teams or technical stakeholders in a production environment.
• Deep understanding of voice characteristics, including tone, timbre, clarity, and pacing.
• Must be based in the United States.
• Ability to manage multiple time-sensitive production requests in a fast-paced, remote-first environment.

Culture & Benefits

• Fully remote position with global flexibility.
• Opportunity to work on high-profile creator, publishing, and media projects at scale.
• Exposure to cutting-edge AI-driven audio and voice technology.
• Collaborative environment combining human creativity with machine learning tools.
• Chance to influence the future of voice technology and AI-generated audio experiences.