Audio Engineering Specialist
Micro1 • Remote • Posted 64 days ago
Education
Any
Type
Pay Rate
$40/task
Posted
64d ago
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About this Role
Job Summary
Join our customer’s team as an Audio Engineering Specialist, where your expertise will directly support next-generation AI audio technologies. You’ll play a critical role in identifying and classifying audio artifacts, providing high-quality annotation and actionable feedback, and shaping the quality of AI-driven audio products. If you’re passionate about sound, meticulous about detail, and thrive in a collaborative yet independent environment, this opportunity is for you.
Key Responsibilities
Listen to short audio clips and expertly classify audio artifacts such as noise, clipping, echo, misalignments, and compression-related issues. Produce precise annotations and detailed corrective feedback to support machine learning model improvement. Review and QA annotation work created by other contributors, ensuring consistency and accuracy across the team. Document edge cases with clear notes and illustrative examples, contributing to shared annotation guidelines. Collaborate closely with the training team to refine annotation procedures and drive inter-annotator agreement. Utilize and provide feedback on browser-based annotation tools and workflow optimizations. Maintain rigorous quality standards in every task, ensuring data integrity and effective communication at all times.
Required Skills and Qualifications
Proven experience in audio annotation, descriptive captioning, transcription, podcast/audio editing, or audio QA. Strong background in audio restoration with advanced proficiency in tools such as iZotope RX, Cedar Studio, Adobe Audition, or similar. Deep familiarity with audio engineering terminology and common recording/production faults. Demonstrated ability to use browser-based annotation tools and follow structured workflows. Keen ear for subtle audio details and anomalies; prior experience as a reviewer or annotator is highly valued. Exceptional written and verbal communication skills, with particular care for clarity in notes and discussions. Detail-oriented, self-motivated, and comfortable working independently in a remote environment.
Preferred Qualifications
Previous experience with Ultra Descriptive Captioner or similar audio annotation projects. Background in professional audio engineering, audio captioning, or transcription review. Track record of contributing to the development of annotation or QA guidelines.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
Key Responsibilities
- Listen to short audio clips and expertly classify audio artifacts such as noise, clipping, echo, misalignments, and compression-related issues.
- Produce precise annotations and detailed corrective feedback to support machine learning model improvement.
- Review and QA annotation work created by other contributors, ensuring consistency and accuracy across the team.
- Document edge cases with clear notes and illustrative examples, contributing to shared annotation guidelines.
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.