SaidGig

Audio Engineer for AI Model Training

$30–$50/hr

RemoteRemote (US and Canada)ContracttechnologyUpdated Jun 15, 2026
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About this role

Role Overview

As an Audio Engineer, you will play a crucial role in training next-generation AI systems by applying your audio expertise. Your contributions will directly influence how AI models learn and perform through high-quality, real-world audio input. This position is fully remote and does not require prior experience in AI; your domain knowledge is what matters most.

Key Responsibilities
  • Conduct detailed quality assurance on audio recordings, identifying and documenting artifacts or anomalies.
  • Assess the severity of audio issues and classify them accurately for AI model training use.
  • Perform audio cleanup and restoration tasks, ensuring data meets professional standards.
  • Annotate audio and video data with clear, concise notes to support AI/ML development.
  • Participate in labeling, review, and quality control processes for large-scale datasets.
  • Leverage your expertise in audio engineering to identify best practices and share insights with the team.
  • Collaborate effectively with a distributed team, providing regular feedback and contributing to a culture of high standards.
Qualifications
  • Professional monitoring setup, including studio monitors or high-end headphones, suitable for critical listening tasks.
  • Strong command of written and verbal English communication for precise issue reporting and team collaboration.
  • Deep understanding of audio quality assurance processes and artifact detection methodologies.
  • Experience with audio restoration, cleanup, and editing workflows using industry-standard tools.
  • Ability to provide thorough, objective, and actionable feedback for audio data improvement.
  • Familiarity with data annotation and quality control for AI or media workflows.
  • Self-motivated, detail-oriented, and comfortable working independently in a remote environment.
Preferred Qualifications
  • Background in audio or video data labeling for machine learning or AI development.
  • Experience collaborating in distributed audio engineering teams.
  • Demonstrated ability to prioritize tasks and manage time effectively in a fast-paced setting.
Work Terms

Employment Type: Contract

Compensation

Hourly rate of $30 - $50.

Eligibility

Remote work available for candidates located in the US and Canada.

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