Audio Quality AI Trainer at micro1

Job Title:Audio Quality AI Trainer

Job Type:Part-time, contract.

Location:Remote

Job Summary

Join our customer's team as an Audio Quality AI Trainer and play an essential role in advancing the next generation of AI. You’ll evaluate short audio clips, expertly identify and classify audio artifacts, and deliver precise annotations that directly impact model accuracy. This is an exciting opportunity for someone passionate about audio quality, meticulous in their work, and eager to contribute to state-of-the-art AI development.

Key Responsibilities

• Analyze and classify audio artifacts such as noise, clipping, echoes, and compression issues in provided clips.
• Deliver detailed and accurate annotations to train and enhance AI audio models.
• Review and quality-assure annotations created by other team members to ensure consistency and correctness.
• Develop clear and comprehensive annotation notes, particularly for edge or ambiguous cases.
• Collaborate with the training team to refine project guidelines and boost agreement among annotators.
• Maintain a sharp attention to detail throughout classification and QA processes.
• Provide constructive feedback to continuously improve annotation quality and model performance.

Required Skills and Qualifications

• Professional experience in audio annotation, descriptive captioning, transcription, podcast/audio editing, or audio QA.
• Solid understanding of audio terminology and common recording faults.
• Proficiency with browser-based annotation tools and adherence to structured guidelines.
• Exceptional attention to auditory detail and the ability to recognize subtle audio discrepancies.
• Strong written and verbal communication skills, with a focus on clarity and precision.
• Demonstrated commitment to annotation accuracy and quality assurance best practices.

Preferred Qualifications

• Background in audio captioning, transcription, or audio engineering.
• Proven track record as an audio content reviewer or annotator in a high-quality, detail-oriented environment.
• Familiarity with advanced audio editing tools and recent developments in audio AI.