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Audio Engineer

Micro1

AI Expert - Music & Audio Contractor · Full-time Short-term
United States, Canada $30 – $50/hr May 23, 2026

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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