We are sharing a specialised part-time consulting opportunity for experienced music and audio professionals with strong analytical listening, music theory, sound identification, and annotation skills to contribute to an advanced AI training project focused on real-world music and field-recording analysis.
Selected professionals will listen closely to short field recordings, identify musical and environmental details, compare recordings captured in different settings, and produce structured annotations through a dedicated web platform. Later project phases may involve evaluating AI-generated descriptions against the underlying audio and identifying statements that are correct, inaccurate, or unsupported.
Key Responsibilities
Analytical Listening & Audio Annotation
Listen to short field recordings typically ranging from approximately 30-90 seconds
Identify instruments present within complex or noisy real-world recordings
Estimate musical tempo and identify key using professional listening skills
Document audible background events such as traffic, sirens, applause, crowd reactions, or other environmental sounds
Capture relevant scene details using structured annotation fields and concise written notes
Musical & Environmental Analysis
Distinguish individual musical elements within dense or imperfect real-world recordings
Apply music-theory knowledge when assessing tempo, key, instrumentation, and musical structure
Identify when specific sounds or musical elements enter or change within a recording
Use timestamps to document relevant events precisely
Maintain consistent analytical standards across repeated listening assignments
Recording Comparison & Change Detection
Compare paired recordings of the same song captured at different locations
Determine which musical characteristics remain consistent between recordings
Identify differences caused by environment, performance, acoustics, recording conditions, or background activity
Document relevant changes clearly and objectively
Apply evidence-based listening judgement rather than inference unsupported by the audio
AI Output Review & Quality Evaluation
In later project phases, review AI-generated descriptions of audio recordings
Identify statements that accurately reflect the recording
Flag incorrect, unsupported, or invented details
Provide brief written explanations supporting evaluation decisions
Contribute precise human judgement that improves the quality of music and audio AI systems
Ideal Profile
3+ years of hands-on professional, academic, or substantial practical experience in music or audio
Relevant backgrounds may include working or gigging musicians, session players, producers, or mixing engineers
Music educators, ear-training instructors, band or choir directors, conservatory students, or graduates are also highly relevant
Experience as a location sound recordist, sound designer, foley artist, podcast editor, or documentary audio editor is strongly valued
Strong analytical listening skills and ability to distinguish individual instruments within busy or noisy recordings
Ability to estimate tempo within a few BPM
Ability to identify musical key; relative pitch using a reference is acceptable
Comfortable performing detailed and repetitive annotation work using web-based interfaces
Strong attention to detail when working with dropdowns, timestamps, and structured notes
Clear written English and ability to provide concise, evidence-based observations
Access to quality headphones, a quiet working environment, and reliable internet
No prior experience in AI training or model evaluation is required
Engagement Details
Part-time independent contractor engagement
Fully remote
Compensation: $30-$45/hour
Expected availability: approximately 20-25 hours per week
Work will involve analytical listening, music and sound identification, timestamped annotation, recording comparison, and later-stage AI-output evaluation
A paid onboarding and calibration session is included
Participants should also be available for a short weekly synchronisation session
Quality headphones and a quiet workspace are required for reliable evaluation
Project phases, workload, annotation categories, and evaluation standards may evolve depending on project requirements
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
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Remote | Music & Sound Annotation Expert — $30–$45/hour Job at 24-Mag Llc in Bro
24-Mag Llc · Multiple locations · Remote ·
- Pay:
- $30-$45/hr
- Job type:
- Contract