Music Audio Expert - Korean

$12/task

rate as listed

Workload: 10+ hrs/week
Engagement: Project-based
Location: Worldwide
Field: Creative

Evaluate AI-generated Korean-language music — lyrics, vocals, arrangement, and mix — against structured rubrics and head-to-head comparisons. Requires professional music production or audio engineering experience plus native-level Korean and working English.

The work

Mercor is staffing this project with a leading AI lab building generative music models. Day to day, you'll listen to paired or batched model outputs and score them on musicality, creativity, prompt adherence, vocal quality, and production/mix quality — writing justifications that use real audio-engineering vocabulary rather than general impressions. A second workstream is annotation: tagging songs by genre and sub-genre, marking song structure (verse, pre-chorus, hook, bridge), and describing vocal and instrumental characteristics inside a fixed taxonomy. Korean lyric evaluation is central — you'll judge whether generated lyrics scan naturally, sit correctly against the melody's syllabic stress, and avoid the awkward literal phrasing that models produce when translating from English prompts.

What the screen looks for

Verifiable production history. Three or more years as a producer, audio engineer, or mixer, with releases, credits, or session work you can name.
Theory and lyric fluency, not just taste. Expect follow-ups on song form, harmonic movement, and how you'd articulate why one vocal take reads as more convincing than another.
Bilingual precision. Native or near-native Korean with enough English to parse rubric language, prompt text, and annotation guidelines without drift.
Rubric discipline. Reviewers who can separate personal genre preference from the scored dimension, and who flag ties or ambiguity instead of forcing a winner.

A music degree covering performance, theory, and songwriting strengthens an application but is not a hard gate if your professional record is strong.

Logistics

Fully remote and asynchronous, with a part-time commitment of 10+ hours per week and a project duration of up to six months. Onboarding runs through a resume upload, an application form, and a 25-minute conversational AI interview about your background and motivations; next steps typically arrive within a few days. Observed pay for this listing runs $34.72–62.49/hr, set by experience and task type — rates are as posted on the platform, not a guarantee. Reliable headphones or monitors and a quiet listening environment are practical prerequisites.

What they look for

3+ years professional experience as a music producer, audio engineer, or sound mixer
Native or near-native Korean with strong working English
Demonstrated songwriting or lyric-writing experience in Korean
Fluency in music theory, song structure, and audio-engineering terminology
Ability to apply structured scoring rubrics and taxonomies consistently
Degree in music covering performance, theory, and composition (preferred)

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Do you have at least 3 years of professional experience working as a music producer, audio engineer, or sound mixer?
Music production/engineering experience · required
Do you hold a college degree in music that included coursework or practical training in performance, music theory, and lyric writing?
College degree in music · required
Are you a native or near-native speaker of Korean, and have you written original lyrics or music in Korean?
Korean language proficiency · required
Can you understand and follow technical instructions in English and communicate detailed audio-engineering or musical feedback in English?
English proficiency for technical communication · required
Are you available to commit 10+ hours per week for up to 6 months, beginning immediately?
Availability for 6-month part-time commitment · preferred
Do you have any prior experience formally annotating, classifying, or evaluating music using structured criteria or taxonomy?
Bilingual music annotation experience · preferred

0 of 6 answered

Included with this listing

Interview prep — 11 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: Verifying the 3+ years of hands-on production/engineering work and whether the candidate can name concrete techniques, equipment, or mixing decisions they made—not just attended sessions.
A strong answer: Specific projects with clear dates, the candidate's own role (e.g., 'I mixed the drums and vocals on three EPs'), and at least one technical decision or challenge they solved ('I used parallel compression to control the vocal dynamics without losing presence').
Where people lose it: Vague claims like 'I worked in music' without naming projects, roles, or techniques; or crediting work that was someone else's (saying 'I produced' when they were an assistant or musician only).

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.