Full Time
B
Quick Summary
Join Beatpulse Labs, a cutting-edge Generative AI startup, as a Music Annotator and play a vital role in shaping the future of music intelligence. This is an exciting opportunity to leverage your passion for music and analytical skills to train AI models through detailed annotation. If you are detail-oriented and love music, this role is perfect for you.
Key Responsibilities
- Listen to and meticulously analyze diverse music tracks, identifying key elements.
- Accurately annotate music based on provided guidelines, ensuring consistency across annotations.
- Meet weekly annotation targets while maintaining high levels of quality and adherence to standards.
Requirements
- Strong interest in music and excellent attention to detail are essential.
- Ability to follow structured guidelines precisely and maintain consistency in annotations.
- Comfortable working independently in a remote setting with a reliable internet connection.
Benefits
- Remote work opportunity with a globally distributed team.
- Competitive compensation reflecting your skills and contributions.
- Professional growth and the chance to contribute to cutting-edge AI development in the music industry.
Required Skills
Music Theory
Audio Production
Data Annotation
Content Analysis
Pattern Recognition
Time Management
Estimated Salary Range for Music Annotator in Global
BELOW AVERAGE
< $61k/yr
✨
AVERAGE RANGE
$61k - $75k
/year
ABOVE AVERAGE
> $75k/yr
💡 Salary estimates based on aggregated data from public sources. Actual salaries may vary.
Job Description
About Beatpulse Labs
Beatpulse Labs is a fast-growing Generative AI startup focused on building advanced music intelligence systems. Our work sits at the intersection of music, data, and machine learning, powering next-generation AI models through high-quality human annotation.
We are building a global network of talented music annotators who help train and refine AI systems by analysing and labelling music content with precision and consistency.
Role Overview
As a Music Annotator, you will listen to and analyse audio tracks, applying structured annotations based on defined guidelines. Your work directly contributes to the development and improvement of AI models in the music domain.
This role requires strong attention to detail, consistency, and the ability to work independently in a fast-paced, remote environment.
Key Responsibilities
Listen to and analyse music tracks across various genres
Accurately annotate tracks based on provided guidelines and criteria
Maintain high levels of accuracy, consistency, and quality in all annotations
Meet weekly output targets and deadlines
Apply feedback to continuously improve annotation quality
Flag unclear or problematic content when necessary
Stay up to date with annotation guidelines and process updates
Expectations
Consistent delivery of assigned annotation volume per week
High accuracy and adherence to guidelines
Reliable turnaround times
Ability to maintain quality at scale
Requirements
Strong interest in music (formal training is advantageous but not required)
Excellent attention to detail and pattern recognition
Ability to follow structured guidelines precisely
Strong time management and self-discipline
Comfortable working independently in a remote environment
Reliable internet connection and access to a computer
Preferred Qualifications
Background in music, audio production, or music theory
Experience with data annotation, tagging, or content analysis
Familiarity with different music genres and structures