Audio Quality AI Trainer

About the Role

Join micro1 as an Audio Quality AI Trainer to advance the next generation of AI. In this part-time, contract, remote role, you will 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 such as noise, clipping, echoes, and compression issues.
• Deliver detailed and accurate annotations to enhance AI audio models.
• Review and QA annotations for consistency and correctness.
• Develop clear annotation notes for edge or ambiguous cases.
• Collaborate with the training team to refine guidelines and achieve consistency.
• Provide constructive feedback to improve annotation quality and model performance.

Required Skills and Qualifications

• Experience in audio annotation, descriptive captioning, transcription, podcast/audio editing, or audio QA.
• Understanding of audio terminology and recording faults.
• Proficiency with browser-based annotation tools and adherence to guidelines.
• Exceptional auditory attention and recognition of 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.
• Proven track record as an audio content reviewer or annotator in a detail-oriented environment.
• Familiarity with advanced audio editing tools and developments in audio AI.

Key skills/competency

Audio Evaluation, Annotation, Quality Assurance, Audio Editing, Remote, Precision, Collaboration, Audio Terminology, Communication, AI Training