Music Audio Evaluator (English) | $39/hr Remote
Posted Today by Crossing Hurdles
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Music Audio Expert role involves evaluating AI-generated music and lyrics, scoring the quality of musical training data, and annotating songs based on various musical characteristics. This part-time, remote position requires expertise in music production and a strong understanding of musical theory and performance. Candidates must possess native or near-native proficiency in English and have experience in writing lyrical music. The role demands a commitment of 10+ hours per week.
Key Responsibilities:
- Evaluate AI model output lyrics, voice generation, and other standards
- Score quality of musical training data
- Write music in the domain language listed in the title
- Understand and follow directions in English language
- Rate AI-generated music samples on musicality, creativity, prompt adherence, vocal quality, and production/mix quality
- Annotate songs in detail: genre/sub-genre classification, song structure, vocal/instrumental characteristics via a structured taxonomy
Key Skills:
- Experience working as a music producer, audio engineer, and/or sound mixer
- Evidence of understanding musical performance, theory, and lyrics
- College degree in music, involving both performance, theory, and lyrics
- Past experience writing lyrical music in the domain language listed in the title
- Native or near-native proficiency in English
Salary (Rate): £39.00 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Position: Music Audio Expert - English (UK/Australia)
Type: Hourly contract
Compensation: $39 per hour
Location: Remote
Commitment: Part-time, 10+ hours per week
Role Responsibilities
- Evaluate AI model output lyrics, voice generation, and other standards
- Score quality of musical training data
- Write music in the domain language listed in the title
- Understand and follow directions in English language
- Rate AI-generated music samples head-to-head on musicality, creativity, prompt adherence, vocal quality, and production/mix quality, using audio-engineering terminology
- Annotate songs in detail: genre/sub-genre classification, song structure, vocal/instrumental characteristics via a structured taxonomy
Requirements
- Experience working as a music producer, audio engineer, and/or sound mixer
- Evidence of understanding musical performance, theory, and lyrics
- College degree in music, involving both performance, theory, and lyrics
- Past experience writing lyrical music in the domain language listed in the title
- Native or near-native proficiency in English
Application Process
Apply using the Easy Apply button and submit your application. Applications will be reviewed based on the role requirements. Eligible candidates will receive a message in their LinkedIn inbox with instructions to continue the application process. Follow the instructions in the message to complete the remaining application steps.