Audio Engineer for AI Training

As an Audio Engineer, you will leverage your expertise to contribute to the training of next-generation AI systems. Your role will be pivotal in shaping how models learn and perform by providing high-quality, real-world audio input. No prior experience in AI is necessary; your domain knowledge is the key asset.

• Conduct rigorous Audio QA to identify, document, and resolve quality issues in diverse audio datasets.
• Utilize professional audio tools to analyze, process, and prepare audio files for 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.

• 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.

• 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.

Contract position, fully remote.

Hourly pay ranges from $25 to $55.

Open to applicants with the required skills and qualifications.