About the role
About the role
Perform fine-grained labeling on data such as music and sound effects, including instrument identification, music genre, rhythm pattern, emotion, and music structure. Identify music genres, traditional instruments, and culture-specific sounds unique to the target language region, and use natural expressions that conform to the conventions of the target language.
Key responsibilities
- Perform fine-grained labeling on data such as music and sound effects, including but not limited to instrument identification, music genre, rhythm pattern, emotion, and music structure
- Identify music genres, traditional instruments, and culture-specific sounds unique to the target language region, and use natural expressions that conform to the conventions of the target language
- Complete self-checks and quality checks according to the guidelines
- Analyze the causes of rejected bad cases, revise them, and review similar issues across completed work
About you
- Korean: Native speaker of the target language , or native-level proficiency in listening, speaking, reading, and writing
- Able to judge common regional accents, colloquial expressions, and cultural context
- Able to use English as the working communication language
- Professional background in music production, composition, arrangement, mixing, or related fields; or sound effect production, audio editing, sound design, film and television sound
- Strong music listening and discrimination skills, able to distinguish musical characteristics across instrumentation, rhythm, tonality, form, emotion, and style
- Able to identify popular music, film/TV scores, traditional music, and representative instruments from the target cultural region
- Able to identify common instruments, performance techniques, ensemble configurations, and section changes
- Professional audio discrimination skills, able to identify realistic sound effects, non-realistic special effects, off-screen sound, and obvious vocal post-processing effects in mixed audio tracks
- Able to accurately identify audio issues such as noise, distortion, hum/background noise, and abnormal reverberation
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