Help train next-generation generative music AI by transcribing melodies, identifying musical structure, evaluating AI-generated music, and accurately processing Nepali-language lyrics.
Audio Engineer
Job description
As an Audio Engineer, you will apply your expertise to help train next-generation AI systems through high-quality audio evaluation, restoration, annotation, and quality assurance workflows.
This role focuses on improving AI understanding of audio quality, artifact detection, restoration standards, and media evaluation using real-world audio engineering expertise.
Key Responsibilities
Conduct detailed quality assurance reviews on audio recordings
Identify, document, and classify:
- Audio artifacts
- Distortions
- Noise issues
- Recording anomalies
Assess severity levels of audio issues for AI training workflows
Perform:
- Audio cleanup
- Audio restoration
- Audio editing
using professional audio engineering standards.
- Annotate audio and video datasets with clear and structured notes
- Participate in:
- Data labeling
- Dataset review
- Quality control processes
for AI and machine learning systems.
- Share audio engineering insights and best practices with distributed teams
- Collaborate remotely with project teams while maintaining high technical standards
Required Skills & Qualifications
Professional audio monitoring setup including:
- Studio monitors
- High-end headphones
- Critical listening environments
Strong written and verbal English communication skills
Deep understanding of:
- Audio quality assurance
- Artifact detection
- Audio restoration methodologies
Experience with:
- Audio editing
- Cleanup workflows
- Industry-standard audio tools
Ability to provide:
- Objective feedback
- Detailed issue reports
- Actionable quality recommendations
Familiarity with:
- Data annotation
- Quality control
- AI/media workflows
Strong:
- Attention to detail
- Independent work abilities
- Remote collaboration skills
Preferred Qualifications
Experience with:
- Audio labeling for AI/ML systems
- Media dataset evaluation
- Machine learning data workflows
Background working in distributed audio engineering teams
Strong task prioritization and time management abilities
Additional Information
This role offers audio professionals an opportunity to contribute directly to AI and machine learning systems through high-quality audio evaluation, restoration, annotation, and media quality assurance workflows.
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