Music & Sound Effects Data Captioning Specialist

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
JAPANESE OR 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