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Responsibilities
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 ResponsibilitiesConduct 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 QualificationsNative-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 QualificationsExperience 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.
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