Music Annotator

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.

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