Audio Data QA Specialist (Remote US/Canada)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects, consolidate opportunities, and build a unified portfolio they control — opening a path to durable freelance work in the fast-growing AI training industry.

• Free to join; focused on helping contributors grow careers teaching AI and working on real ML datasets.

About AI Training Work

AI training (also called data labeling or human feedback work) is the human side of building modern AI. People prepare, annotate, and review example data — like audio — that models learn from. This work is widely remote, often flexible, and a direct way to shape how state-of-the-art systems behave.

• Work remotely from anywhere with a reliable internet connection.
• Flexible, part-time friendly schedules that fit around other commitments.
• Accessible entry points: many projects require attention to detail and domain knowledge rather than formal degrees.

The Role

OpenTrain is recruiting an Audio Data QA Specialist to perform audio quality assurance, artifact detection, cleanup/restoration, and detailed issue documentation for datasets used in AI/ML development. This is a remote contractor role available to candidates based in the United States and Canada.

• Schedule: 20+ hours per week (part-time contractor).
• Pay: USD $30–$50 per hour (listed hourly range).
• Locations: United States and Canada only.
• Employment type: Contractor, Part-time.
• Data type: Audio (may include audio in video assets).
• Labeling work: Classification, evaluation/rating, and data collection annotations.
• Labeling platform: Other (project uses a custom or third-party tool).

What You'll Do

• Listen critically to recordings and identify artifacts, anomalies, and quality issues.
• Assess severity, classify issues accurately, and document findings for model training use.
• Perform audio cleanup and restoration so data meets professional standards.
• Annotate audio and video with concise notes that support AI/ML development.
• Participate in large-scale labeling, review, and quality-control workflows.
• Share practical audio engineering insight with a distributed team and provide regular feedback.

Requirements

• Professional monitoring setup such as studio monitors or high-end headphones (required).
• Strong written and verbal English communication for precise issue reporting and collaboration.
• Deep understanding of audio quality assurance and artifact detection.
• Experience with audio restoration, cleanup, and editing workflows using industry-standard tools.
• Ability to provide thorough, objective, and actionable feedback.
• Familiarity with data annotation and quality-control processes for AI or media workflows.
• Self-motivated, detail-oriented, and comfortable working remotely.

Helpful Background

• Prior experience labeling audio or video data for machine learning or AI development.
• Experience collaborating with distributed audio engineering or annotation teams.
• Strong task prioritization and time management in fast-paced settings.

How It Works & How to Apply

To apply, create an OpenTrain account and submit your application for this OpenTrain project. Include a short summary of your audio QA experience, details about your monitoring setup, and any examples or links that demonstrate relevant work. Qualified applicants will be contacted with next steps as a contractor.

• Create an OpenTrain profile (free) and locate the OpenTrain Audio Data QA Specialist listing.
• Provide a brief resume or summary plus details on your monitoring equipment and audio tools you use.
• Make sure you are based in the US or Canada and can commit 20+ hours/week.