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Audio Quality AI Trainer
Micro1
HybridHybrid
Original Job Summary
Job Summary
Join our customer's team as an Audio Quality AI Trainer and play an essential role in advancing the next generation of AI. You’ll 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 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 guidelines.
- Maintain sharp attention to detail during QA processes.
- Provide constructive feedback to improve annotation quality.
Required Skills and Qualifications
- Experience in audio annotation, transcription, or audio editing.
- Solid understanding of audio terminology and recording faults.
- Proficiency with browser-based annotation tools.
- Exceptional attention to auditory detail.
- Strong written and verbal communication skills.
- Commitment to annotation accuracy and quality assurance.
Preferred Qualifications
- Background in audio captioning or audio engineering.
- Proven track record in audio content review or annotation.
- Familiarity with advanced audio editing tools and audio AI developments.
Key skills/competency
Audio annotation, AI training, audio QA, transcription, audio editing, classification, quality assurance, attention to detail, communication, collaboration
How to Get Hired at Micro1
🎯 Tips for Getting Hired
- Research micro1 culture: Study their mission and employee reviews.
- Customize your resume: Highlight audio annotation expertise.
- Showcase projects: Include relevant audio quality achievements.
- Practice technical skills: Review browser-based annotation tools.
📝 Interview Preparation Advice
Technical Preparation
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Review browser-based annotation tools.
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Practice audio editing software fundamentals.
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Study audio artifact classification.
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Learn structured annotation methods.
Behavioral Questions
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Describe time you ensured project accuracy.
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Explain handling ambiguous audio cases.
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Share feedback experiences with peers.
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Discuss managing repetitive quality tasks.