Audio Engineer

Audio Engineer (Remote)

Nexus Consulting is seeking an experienced Audio Engineering Specialist to support next-generation AI-driven audio technologies. This role focuses on identifying and classifying audio artifacts, producing high-quality annotations, and contributing to the continuous improvement of machine learning systems.

This is a remote contract opportunity suitable for professionals who are detail-oriented, self-directed, and experienced in audio analysis and restoration.

Key Responsibilities

• Review short audio clips and classify artifacts such as noise, clipping, echo, misalignment, and compression-related issues.
• Produce precise annotations and structured corrective feedback.
• Conduct quality assurance reviews of annotation work to ensure consistency and accuracy.
• Document edge cases and contribute to shared annotation guidelines.
• Collaborate with training and QA teams to refine annotation standards.
• Provide feedback on annotation tools and workflow improvements.
• Maintain high data quality and documentation standards.

Required Qualifications

• Demonstrated experience in audio annotation, captioning, transcription, audio editing, or quality assurance.
• Strong proficiency in audio restoration tools such as iZotope RX, Cedar Studio, Adobe Audition, or equivalent software.
• Solid understanding of audio engineering terminology and production defects.
• Experience using browser-based tools and structured workflows.
• Strong written communication skills for clear documentation and reporting.
• Ability to work independently in a remote environment.

Preferred Qualifications

• Experience with advanced descriptive audio captioning projects.
• Professional background in audio engineering or post-production.
• Experience contributing to annotation or QA documentation standards.

Additional Information

• Contract engagement
• Flexible hours within agreed weekly range
• Compensation to be discussed based on experience and location

Key skills/competency

• Audio Engineering
• Audio Annotation
• AI Audio Technologies
• Machine Learning Systems
• Audio Artifacts Classification
• Quality Assurance
• Audio Restoration
• Annotation Tools
• Remote Work
• Data Quality