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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

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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