As an Audio Engineering Specialist, you will leverage your expertise to support cutting-edge AI audio technologies. Your role will involve identifying and classifying audio artifacts, providing high-quality annotations, and delivering actionable feedback that shapes the quality of AI-driven audio products. If you have a passion for sound, a meticulous attention to detail, and thrive in a collaborative yet independent environment, this position offers a unique opportunity to make an impact.

• Listen to short audio clips and classify audio artifacts such as noise, clipping, echo, misalignments, and compression-related issues.
• Produce precise annotations and detailed corrective feedback to enhance machine learning model performance.
• Review and QA annotation work from other contributors, ensuring consistency and accuracy across the team.
• Document edge cases with clear notes and illustrative examples to contribute to shared annotation guidelines.
• Collaborate closely with the training team to refine annotation procedures and promote 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.

• 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 a focus on clarity in notes and discussions.
• Detail-oriented, self-motivated, and comfortable working independently in a remote environment.

Employment Type: Full-time or Part-time, contract (approximately 15 to 40 hours per week)

Hourly pay ranges from $25 to $55.

This position is remote and open to candidates with the required skills and experience.