Audio Quality AI Trainer

About the Audio Quality AI Trainer Role

Join micro1's team as an Audio Quality AI Trainer and contribute to the next generation of AI development. In this part-time, remote role (15-20 hours per week), you'll evaluate short audio clips, identify and classify audio artifacts, and provide precise annotations that directly impact model accuracy.

Key Responsibilities

• Analyze and classify audio artifacts such as noise, clipping, echoes, and compression issues.
• Filter and repair audio artifacts using spectral/manual edits and restoration workflows.
• Deliver accurate annotations to train and enhance AI audio models.
• Review and quality-assure annotations for consistency and correctness.
• Develop clear annotation notes for edge cases and ambiguous scenarios.
• Collaborate with the training team to refine project guidelines.
• Maintain sharp attention to detail during 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, podcast/audio editing, or audio QA.
• Hands-on audio restoration using spectral repair, de-click/de-clip, denoise, de-reverb, EQ and manual fixes.
• Solid understanding of audio terminology and common recording faults.
• Proficiency with browser-based annotation tools and audio software (iZotope RX, Adobe Audition, REAPER, etc.).
• Ability to deliver before/after examples or quick demo edits.
• Exceptional auditory attention to detail and subtle audio discrepancy recognition.
• Strong written and verbal communication with clarity and precision.
• Commitment to annotation accuracy and quality assurance best practices.
• Availability to commit approximately 15-20 hours per week.

Preferred Qualifications

• Background in audio engineering, audio design, and audio restoration.

Key skills/competency

audio, AI, annotation, restoration, QA, classification, training, spectral, editing, engineering