Audio Engineer
$30 - $50/hour
pay
Required Skills
audio quality assurance
audio artifact detection
audio restoration
audio cleanup
audio editing
industry-standard audio tools
data annotation
quality control
critical listening
studio monitors
high-end headphones
english communication
issue reporting
team collaboration
independent remote work
attention to detail
task prioritization
time management
ai/ml data labeling
distributed team collaboration
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description

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.

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.
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