Audio Engineer

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.

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 and 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.