Music Content Analyst and AI Trainer

You will help improve AI systems that process and understand music. The work combines careful listening, music knowledge, lyric review, song classification, prompt writing, and evaluation of AI-generated responses.

• Verify and correct lyrics for wording, phrasing, and song structure.
• Classify lyric excerpts as sections such as verse, chorus, or bridge.
• Listen to tracks, count the singers, and identify the gender of each vocalist.
• Use your knowledge of pitch, harmony, vocal layering, arrangement, and song structure to make accurate judgments.
• Write music-focused prompts and rate AI-generated responses for quality and relevance.
• Work independently in a remote, asynchronous setting with close attention to detail.

What it pays and takes

This is remote project work for candidates based in the United States.

• Pay: up to $50 per hour.
• Schedule: flexible hours with an expected commitment of 20+ hours per week.
• Location: open to candidates based in the United States.
• Language: fluent in English.
• Education: current bachelor's student or graduate in Music, Music Theory, Music Composition, or a related field.
• Experience: professional work as a performing, recording, or touring musician.
• Skills: a strong ear for pitch, harmony, vocal layering, and arrangement; familiarity with common song structures across genres; and the ability to work independently.
• Participation must comply with your applicable work or training authorization conditions.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that understand text, audio, images, and other information. Contributors review examples, write prompts, and judge model responses so AI systems can produce more useful results, while subject-matter knowledge helps people make accurate decisions in specialized projects. OpenTrain is a free platform where people find these projects, build a profile, and start applications.