Audio Quality AI Trainer

Job Summary

Join micro1's team as an Audio Quality AI Trainer to advance the next generation of AI. Evaluate short audio clips, identify and classify audio artifacts, and deliver precise annotations that directly impact model accuracy.

Key Responsibilities

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

Required Skills and Qualifications

• Experience in audio annotation, captioning, transcription, or audio QA.
• Understanding of audio terminology and common recording faults.
• Proficiency with browser-based annotation tools and structured guidelines.
• Exceptional auditory attention and recognition of subtle discrepancies.
• Strong written and verbal communication with focus on clarity.
• Commitment to annotation accuracy and quality assurance.

Preferred Qualifications

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

Key Skills/Competency

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