Audio Engineer
Micro1 • Remote • Posted 19 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
19d ago
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About this Role
Job Summary
Join our customer's team as an expert Audio Engineer, contributing to a groundbreaking AI training project focused on detailed waveform analysis. In this role, you will leverage your advanced audio engineering expertise to ensure the highest quality, accuracy, and integrity of audio data, supporting innovative technology development in a fully remote environment.
Key Responsibilities
• Conduct rigorous Audio QA to identify, document, and resolve any quality issues in diverse audio datasets. • Utilize professional audio tools to analyze, process, and prepare audio files for use in AI training workflows. • Restore and enhance audio recordings, ensuring clarity and fidelity while adhering to project specifications. • Analyze complex waveforms with precision, providing insightful feedback and detailed reports. • Collaborate with cross-functional teams to align on audio quality standards and project goals. • Maintain meticulous attention to detail throughout all stages of audio review and processing. • Communicate findings and technical information clearly in both written and verbal forms.
Required Skills and Qualifications
• Native-level proficiency in English, with exceptional written and verbal communication abilities. • Bachelor’s degree or higher in Audio Engineering or a closely related field. • Proven expertise in audio QA, restoration, and advanced use of industry-standard audio tools. • Demonstrated ability to analyze complex audio waveforms and provide actionable insights. • Strong attention to detail and commitment to delivering high-quality results. • Previous experience supporting AI or technology-driven projects is a plus. • Ability to work independently in a remote, fast-paced environment.
Preferred Qualifications
• Experience with audio dataset preparation for machine learning or AI applications. • Familiarity with a wide range of audio formats and restoration techniques. • Background in collaborative projects requiring detailed technical documentation.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Eligible Languages
Fluent proficiency in English
Key Responsibilities
- Conduct rigorous Audio QA to identify, document, and resolve any quality issues in diverse audio datasets.
- Utilize professional audio tools to analyze, process, and prepare audio files for use in AI training workflows.
- Restore and enhance audio recordings, ensuring clarity and fidelity while adhering to project specifications.
- Analyze complex waveforms with precision, providing insightful feedback and detailed reports.
Compensation Analysis
Work from anywhere, at any time. This fully remote position ($40/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the data labeling and AI training ecosystem.
Skills & Categories
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
What equipment do I need?
For voice or audio roles at this pay level, you typically need a professional home studio setup (XLR microphone, treated room). Phone recordings or laptop mics are usually rejected by quality control.
How is my work used?
You are providing high-quality "ground truth" data. For writers, this means creative generation. For voice actors, it often means training Text-to-Speech models. Be sure to check the specific contract details regarding rights usage for your voice or likeness.
Is creative freedom allowed?
Yes and no. While you are hired for your talent, you must often follow strict style guides (e.g., "Speak in a neutral tone" or "Write in the style of a technical manual"). The goal is consistency for the dataset.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.