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Audio Quality AI Trainer

Micro1

HybridHybrid

Original Job Summary

About the Audio Quality AI Trainer Role

Join micro1 as an Audio Quality AI Trainer and advance next generation AI. In this remote, part-time contract position, you will evaluate short audio clips, classify audio artifacts, and deliver precise annotations to enhance model accuracy.

Key Responsibilities

  • Analyze and classify audio artifacts, including noise, clipping, echoes, and compression issues.
  • Deliver detailed annotations to train and enhance AI audio models.
  • Review and quality-assure annotations for consistency and correctness.
  • Develop clear annotation notes for ambiguous cases.
  • Collaborate with the training team to refine project guidelines.
  • Maintain high attention to detail and provide constructive feedback.

Required Skills and Qualifications

  • Experience in audio annotation, descriptive captioning, transcription, or audio QA.
  • Understanding of audio terminology and recording faults.
  • Proficiency with browser-based annotation tools and structured guidelines.
  • Exceptional attention to auditory details and subtle discrepancies.
  • Strong written and verbal communication skills.

Preferred Qualifications

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

Key skills/competency

audio annotation, audio editing, quality assurance, audio artifacts, classification, transcription, communication, detail, collaboration, audio engineering

How to Get Hired at Micro1

🎯 Tips for Getting Hired

  • Customize your resume: Highlight audio annotation and QA experience.
  • Research micro1: Understand their AI and audio projects.
  • Prepare examples: Showcase detailed annotation work and results.
  • Practice interviews: Focus on technical and communication skills.

📝 Interview Preparation Advice

Technical Preparation

Review audio artifact examples.
Practice with browser-based annotation tools.
Familiarize with AI audio model basics.
Study common audio terminology.

Behavioral Questions

Describe a time you maintained detail focus.
Explain handling ambiguous audio annotation issues.
Share feedback experience with team collaboration.
Discuss adapting to project guideline changes.