Audio Engineering Specialist

Job Summary

Join micro1's 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.

Key skills/competency

• Audio annotation
• Machine learning support
• Sound artifact classification
• Quality assurance (QA)
• Audio restoration
• iZotope RX
• Adobe Audition
• Communication
• Detail-oriented
• Workflow optimization