Music Fit Rating - B1/B2 English Required (Philippines)

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We list short-term contract projects and part-time roles across many AI domains; this opportunity is a music-related annotation task posted through the OpenTrain marketplace.

About AI training work

AI training (also called data labeling or annotation) is the human work behind modern AI systems. People prepare and assess examples — like matching lyrics to music — so models learn accurate, safe, and useful behavior.

This project pairs text (song lyrics) with audio (music tracks) and asks human evaluators to judge which track best fits the lyrics and to explain their reasoning.

The role

You will be an annotator who reads long English song lyrics and listens to two different music tracks, then selects which track best matches the lyrics and writes a brief explanation supporting your choice.

This is an entry-level, remote contract role for candidates in the Philippines. Employment type: contractor, part-time. Expected availability: 20+ hours per week.

• Data type: TEXT (lyrics).
• Label type: EVALUATION_RATING.
• Labeling software: OTHER (proprietary or third-party tools).
• Pay: $3.15 per hour (payment per hour).

What you'll do

Apply careful listening and reading to judge which musical track best fits the supplied lyrics, then write a concise explanation that shows your reasoning.

Work independently and manage your assigned tasks remotely during hours you choose within the 20+ hrs/week expectation.

• Read long English song lyrics and understand tone, mood, and lyrical content.
• Listen to two music tracks representing different styles and assess which aligns best with the lyrics.
• Provide clear, concise written explanations in English describing why you selected a track.
• Deliver thoughtful evaluations that combine analytical reasoning and musical sensibility.

Requirements

All requirements below come from the project brief and must be met to be considered for this role.

Preferred items are noted — do not assume they are mandatory unless stated.

• Strong English comprehension: minimum B1/B2 level (CEFR) required.
• Ability to write clear, concise explanations in English.
• Familiarity with a variety of music genres is preferred (helps with assessments).
• Attention to detail and ability to analyze and compare music tracks effectively.
• Reliable internet connection and ability to work remotely.
• Entry-level experience acceptable; no prior annotation history required.

Who should apply

Apply if you enjoy music, can read and interpret English lyrics at a CEFR B1/B2 level or higher, and can clearly explain your choices in writing.

This role suits people who can balance creativity (musical judgment) with analytical explanation and who are available for at least 20 hours per week.

• Music fans with curiosity about genre, mood, and lyrical meaning.
• People seeking flexible, remote part-time contract work in annotation.

Interview guidelines & application tips

The hiring process emphasizes open-ended answers rather than yes/no responses. During screening, you'll be asked to demonstrate your English level in CEFR format and describe your musical background.

Below are example screening prompts the project owner prefers; use them to prepare concise, specific responses.

• When asked about English, state your CEFR level (for example: B1, B2, C1).
• Instead of asking 'Are you familiar with different music?', the interviewer will ask what genres you listen to and why.
• Be prepared to describe how you would evaluate a lyric-track pairing and give a short sample explanation.

How to apply

Create a free OpenTrain account if you don't have one, find this listing, and submit your application. Applications are usually quick to complete.

Include your declared CEFR English level and a short note about the music genres you know or listen to. Availability (20+ hrs/week) and confirmation you are based in the Philippines should also be provided.