Audio Engineer

About this role

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.

Skills

Key responsibilities

• Conduct rigorous Audio QA to identify, document, and resolve any quality issues in diverse audio datasets.
• Utilize professional audio tools to analyze, process, and prepare audio files for use in AI training workflows.
• Restore and enhance audio recordings, ensuring clarity and fidelity while adhering to project specifications.
• Analyze complex waveforms with precision, providing insightful feedback and detailed reports.
• Collaborate with cross-functional teams to align on audio quality standards and project goals.
• Maintain meticulous attention to detail throughout all stages of audio review and processing.
• Communicate findings and technical information clearly in both written and verbal forms.

Required skills & qualifications

• Native-level proficiency in English, with exceptional written and verbal communication abilities.
• Bachelor’s degree or higher in Audio Engineering or a closely related field.
• Proven expertise in audio QA, restoration, and advanced use of industry-standard audio tools.
• Demonstrated ability to analyze complex audio waveforms and provide actionable insights.
• Strong attention to detail and commitment to delivering high-quality results.
• Previous experience supporting AI or technology-driven projects is a plus.
• Ability to work independently in a remote, fast-paced environment.

Preferred qualifications

• Experience with audio dataset preparation for machine learning or AI applications.
• Familiarity with a wide range of audio formats and restoration techniques.
• Background in collaborative projects requiring detailed technical documentation.