Music And Sound Annotation Expert, Part-Time AI Evaluation - Remote (United States)

• $30–$45 per hour, paid hourly as an independent contractor.

• Part-time, flexible schedule; fully remote, United States

Bring your music and sound annotation experience to practical AI evaluation work you can do remotely.

OpenTrain is looking for professionals who can apply music and sound annotation judgment to structured examples, spot important details, and explain decisions clearly. Your work helps improve the quality and usefulness of AI systems.

OpenTrain AI is committed to fair hiring and evaluates applicants on relevant skills and experience.

## What you will do

Review music and sound annotation examples for accuracy, clarity, and naturalness.

Listen or inspect closely, then identify meaningful differences and errors.

Explain each rating in concise written feedback that others can follow.

Apply the project guidance consistently and flag ambiguous cases.

## Why this is worth your time

Use your music and sound annotation expertise on focused AI quality work.

Help improve how AI systems handle language, sound, or speech examples.

Make nuanced judgments and communicate them clearly in writing.

Work remotely with a flexible part-time contractor schedule.

## Who this is for

Professional experience in music and sound annotation or a closely related field.

Clear written English and the ability to explain nuanced decisions.

Careful attention to detail, independent work habits, and consistent judgment.

Comfort following written evaluation criteria across varied assignments.

## Pay and details

• $30–$45 per hour, paid hourly as an independent contractor.

• Part-time, flexible schedule; fully remote, United States

## How to apply

1. Apply on OpenTrain (about two minutes): https://app.opentrain.ai/api/out/cmtjwib4j000k0akohafzdyvx?ch=heymarketers&sub=p_889e7e26f745

2. Complete the application on the hiring platform.

3. If shortlisted, take a short AI interview.

Your music and sound annotation judgment can help make AI systems more accurate, consistent, and useful.