Audio Engineer (Voice AI)

TL;DR

Audio Engineer (Voice AI): Own and scale audio quality across voice AI products and machine-learning infrastructure with an accent on turning manual audio workflows into scalable, programmatic systems. Focus on designing audio processing pipelines, optimizing audio quality across various voices, and defining audio quality standards for large-scale TTS training and synthetic data generation.

Location: Remote (USA)

Salary: $120,000–$175,000

Company

hirify.global is a leading platform providing real-time APIs for speech-to-text and text-to-speech, powering over 200,000 developers and 1,300+ organizations in the emerging Voice AI economy.

What you will do

• Identify and correct audio artifacts, loudness inconsistencies, frequency imbalances, and sibilance issues across large-scale voice datasets.
• Design and implement scalable audio processing pipelines (EQ, compression, de-essing, dynamic range optimization) and normalization strategies.
• Optimize audio quality across real and synthetic voices to ensure a consistent product experience.
• Lead audio quality decisions during on-site voice actor recording sessions, including microphone selection and environment setup.
• Define, document, and enforce audio quality standards for external vendors, ensuring vendor-produced audio meets hirify.global’s training and product needs.
• Convert expert-driven, manual audio workflows into automated, repeatable, code-based systems.
• Collaborate closely with research to improve training data quality, especially for TTS speaker-specific fine-tuning, and contribute to synthetic data pipelines.

Requirements

• Professional audio engineering experience (studio, podcast, radio, live sound, or equivalent).
• Deep understanding of EQ, compression, limiting, de-essing, and mastering techniques.
• Strong familiarity with professional audio tools (Adobe Audition, Logic Pro, Pro Tools, or similar).
• Hands-on experience with FFmpeg and command-line audio processing tools.
• Solid understanding of microphone characteristics, placement, and acoustic principles.
• A highly trained ear for subtle audio quality differences across voices and environments.

Nice to have

• Programming ability (Python preferred) to automate and scale audio workflows.
• Experience building custom audio plugins or DSP tools.
• Familiarity with ML audio preprocessing for ASR or TTS.

Culture & Benefits

• AI-first mindset: expected to actively use and experiment with advanced AI tools and integrate AI into workflows.
• Unlimited PTO and generous paid parental leave.
• Flexible schedule and 12 paid US company holidays.
• Medical, dental, vision benefits, annual wellness stipend, and mental health support.
• 401(k) plan with company match and tax savings programs.
• Learning/education stipend and participation in talks and conferences.