Audio Engineer

Job Title: Audio Engineer

Job Type: Contractor

Location: Remote (US and Canada)

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 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.

Required Skills and 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.