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Appen
ClickworkerNo subject matter listed
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TextI have hands-on experience in AI training, data labeling, and quality assurance, with a proven track record working on global projects for platforms such as Invisible Technologies, Appen, and OneForma. My role has included evaluating AI outputs, annotating datasets, reviewing linguistic accuracy, and conducting QA checks to ensure high-quality training data. I have served as a Quality Lead and QA rater in personalization projects, particularly focusing on conversational AI performance, where I assessed responses for correctness, tone, grammatical quality, and cultural appropriateness. What sets me apart is the combination of linguistic expertise, analytical rigor, and creative background. With experience in multilingual review (Bahasa Indonesia–English), I bring strong attention to detail and adaptability in cross-domain tasks, from general knowledge labeling to specialized evaluations. Beyond technical accuracy, I emphasize user experience and contextual relevance, which makes my contribution valuable in shaping AI models that are not only correct but also natural, empathetic, and user-friendly.
Designed, tested, and evaluated prompts to improve AI model response quality. Ensured accuracy, tone consistency, and contextual appropriateness.
Evaluated web search results for relevance, intent matching, and user satisfaction. Conducted quality checks on query–document pairs and content accuracy.
Collected and annotated image datasets for classification and object identification.
Bachelor of Arts, Interior Design
High School, Mathematics and Natural Science
Civil Servant Candidate
Interior Designer
