Audio Engineer

AI Trainer Jobs; United States; Remote; USD 69,000 - 124,000; Full time

Job summary

micro1 is seeking an Audio Engineer contractor to review and annotate audio data for AI training. You will identify audio quality issues, provide accurate labels, and follow project guidelines from a remote location. Prior audio knowledge and meticulousness are essential.

No AI prior experience is required; focus on your audio expertise and attention to detail to contribute to frontier AI data labeling projects.

Qualifications

• Professional or academic experience in audio engineering or related field.
• Strong knowledge of audio quality and common issues.
• Ability to work independently in a remote environment.
• Excellent written and verbal English communication.

Responsibilities

• Review and annotate audio and robotic video data according to provided guidelines.
• Identify common audio issues such as background noise, clipping, distortion, echo, hum, or dropouts.
• Assess the quality and clarity of audio recordings and accurately categorize issues.
• Provide clear labels, notes, and feedback on reviewed content.
• Follow annotation guidelines consistently across assigned tasks.
• Maintain strong attention to detail and accuracy throughout the review process.
• Communicate findings clearly with the project team.

Skills

Audio QA

Audio tools

Attention to detail

Audio restoration

English communication

Remote work

Education

Bachelor's in Audio Engineering

Tools

DAW software

Audio editing tools

Job description

Audio Engineer
$50 - $90/hour
pay
Required Skills
Audio QA
Audio Tools Proficiency
Attention to Detail
Audio Restoration

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Job Title: Audio Engineer

Job Type: Contractor

Location: Remote

Job Summary:

In this role, you’ll apply your audio expertise to help train next-generation AI systems. You will review and annotate robotic video and audio data, identify audio quality issues, and provide accurate labels and feedback based on clear project guidelines. No prior experience in AI is required — your audio knowledge and attention to detail are what matter.

Key Responsibilities:

• Review and annotate audio and robotic video data according to provided guidelines.
• Identify common audio issues such as background noise, clipping, distortion, echo, hum, or dropouts.
• Assess the quality and clarity of audio recordings and accurately categorize issues.
• Provide clear labels, notes, and feedback on reviewed content.
• Follow annotation guidelines consistently across assigned tasks.
• Maintain strong attention to detail and accuracy throughout the review process.
• Communicate findings clearly with the project team.

Required Skills and Qualifications:

• Professional or academic experience in audio engineering, audio production, sound editing, or a related field.
• Good understanding of audio quality and common recording issues.
• Familiarity with audio editing or production tools.
• Strong attention to detail and ability to follow structured guidelines.
• Strong written and verbal English communication skills.
• Comfortable reviewing video and audio content and completing annotation tasks.
• Ability to work independently in a remote environment.

Preferred Qualifications:

• Bachelor’s degree in Audio Engineering, Sound Production, Music Technology, or a related field.
• Experience with audio QA, editing, annotation, or media review.
• Previous experience with data annotation, AI training, or similar projects is a plus but not required.