Meta Emotion Recording
Record 420 files of voices in Indonesian with various emotions such as happy, sad, angry, laughing, confused, and speaking styles such as fast, slow, and whispering
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a native Indonesian speaker based in Tangerang with a strong academic background (Bachelor’s degree in Marine and Fisheries Education, Cum Laude) and relevant experience in AI data-related tasks. I have worked as a freelance data annotator with Hive Work and as a voice data contributor for Lionbridge, both requiring precision, language sensitivity, and consistency. In addition, my experience as a private tutor and involvement in student counseling have sharpened my communication, analytical, and evaluation skills—critical for assessing and refining AI-generated chat conversations. With proven attention to coherence, fluency, and contextual accuracy, I am confident in my ability to contribute effectively to improving AI conversational models and am ready to commit a minimum of 10 hours per week throughout the project duration.
Record 420 files of voices in Indonesian with various emotions such as happy, sad, angry, laughing, confused, and speaking styles such as fast, slow, and whispering
Bachelor's in Education, Marine and Fisheries Education
Owner and Tutor