Music & Sound Annotation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people start and grow careers teaching AI through practical projects that can be applied to in minutes.

• Free OpenTrain account creation
• Remote contract and part-time opportunity
• Work directly on projects that help improve AI systems

About AI Training and Audio Annotation

AI training is the human side of building artificial intelligence. People prepare and review examples so AI systems can understand audio, identify meaningful details, and produce more accurate descriptions.

In this project, your music and environmental sound expertise will help evaluate field recordings and review AI-generated content. This is hands-on work at the cutting edge of how modern AI systems learn from real-world audio.

• Analyze audio recordings and identify musical details
• Review AI outputs for accuracy and invented content
• Contribute to flexible, remote work in a fast-growing technology field

The Role

OpenTrain AI is seeking an expert Music & Sound Annotation contributor with at least three years of hands-on experience in music or audio. You will annotate 30–90 second field recordings, compare paired recordings of the same song across locations, and evaluate AI-generated descriptions.

This is a remote, part-time contractor engagement expected to last one to three months. The expected commitment is 20–25 hours per week, with at least 20 hours required. Compensation is $30–$45 USD per hour.

• Role: Music & Sound Annotation Expert
• Experience level: Expert
• Engagement: Remote contractor, part time
• Duration: Expected one to three months
• Time requirement: 20–25 hours per week, with at least 20 hours required
• Pay: $30–$45 USD per hour

What You'll Do

You will work in a web-based annotation environment using dropdowns, timestamps, and structured notes. Your annotations should be precise, consistent, and supported by clear evidence.

• Identify instruments in noisy, real-world recordings
• Estimate tempo within a few beats per minute
• Identify musical key, using relative pitch when referenced
• Mark timestamps for background events
• Describe scene details in field recordings
• Compare paired recordings of the same song across locations
• Review AI-generated descriptions as correct, incorrect, or invented
• Write brief, evidence-based explanations for your evaluations

Requirements

Applicants should bring substantial practical experience in music or audio and be comfortable applying analytical listening skills to complex real-world recordings. Clear written English and fluent English proficiency are required.

• At least three years of hands-on music or audio experience
• Background as a musician, producer, engineer, educator, sound recordist, sound designer, foley artist, or audio editor
• Knowledge of music theory
• Strong analytical listening ability
• Ability to identify instruments in noisy recordings
• Ability to estimate tempo within a few beats per minute
• Ability to identify musical key, with relative pitch acceptable when referenced
• Clear written English and fluent English proficiency
• Quality headphones
• Quiet workspace
• Reliable internet connection
• Comfort with repetitive web-based annotation tasks

Who Can Apply

This engagement is open to qualified contributors based in Australia, the United States, the United Kingdom, Canada, Italy, New Zealand, or Ireland. Work is conducted in English, and contributors should be comfortable maintaining the required weekly schedule throughout the engagement window.

• Eligible locations: Australia, United States, United Kingdom, Canada, Italy, New Zealand, and Ireland
• Language: English
• Minimum availability: 20 hours per week
• Expected availability: 20–25 hours per week

Onboarding and Project Schedule

Paid onboarding and calibration are included before annotation work begins. Contributors must also attend a short weekly sync during the engagement.

• Paid onboarding and calibration session
• Short paid weekly sync
• Expected project duration of one to three months

Apply Through OpenTrain

Create a free OpenTrain account and apply in minutes. If selected, you will use your music or audio expertise to help train AI systems to understand recordings, musical characteristics, environmental sounds, and the accuracy of generated descriptions.

• Apply remotely through OpenTrain AI
• Use your specialist audio knowledge in practical AI training work
• Build experience in a rapidly growing field