Audio Quality AI Trainer

@ Micro1

Audio Quality AI Trainer

Join micro1's team as an Audio Quality AI Trainer and play an essential role in advancing the next generation of AI. You will evaluate short audio clips, identify and classify audio artifacts, and deliver precise annotations that directly influence model accuracy.

Key Responsibilities

• Analyze and classify audio artifacts like noise, clipping, echoes, and compression issues.
• Deliver detailed and accurate annotations to enhance AI audio models.
• Review and quality-assure annotations for consistency and correctness.
• Develop clear annotation notes for edge or ambiguous cases.
• Collaborate with the training team to refine project guidelines.
• Maintain sharp attention to detail in classification and QA processes.
• Provide constructive feedback to improve annotation quality and model performance.

Required Skills and Qualifications

• Experience in audio annotation, descriptive captioning, transcription, or audio QA.
• Solid understanding of audio terminology and recording faults.
• Proficiency with browser-based annotation tools and structured guidelines.
• Exceptional attention to auditory detail and ability to recognize subtle audio discrepancies.
• Strong written and verbal communication skills with clarity and precision.
• Commitment to annotation accuracy and quality assurance best practices.

Preferred Qualifications

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

Key skills/competency

• Audio Annotation
• Audio Analysis
• Quality Assurance
• Attention to Detail
• Communication
• Audio Terminology
• Transcription
• Audio Editing
• Collaboration
• Feedback