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Appen
Data Annotation TechNo subject matter listed
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TextAs an AI Trainer, I specialized in data labeling tasks, ensuring precise adjustments to Japanese language outputs for accuracy and cultural relevance. I meticulously reviewed and refined communications between generated AI systems and human users, aligning them with client instructions and predefined outlines to guarantee fidelity and natural flow. Additionally, I conducted thorough quality checks and corrections on deliverables produced by fellow AI trainers, verifying that composed dialogues were accurate, contextually appropriate, and free of errors.
I managed task over 400 a day to evaluate the sentence and short word. In order to educate the AI, how much relevance the two meaning
Data Annotation and Content Analysis: Supported the training and evaluation of generative AI models by assessing the semantic relevance and contextual accuracy of words, phrases, and sentences. Contributed to building datasets for natural dialogue and content generation by generative AI. Evaluated AI outputs in response to user queries and refined outputs to improve accuracy. Created high-quality responses to queries, requiring 45–75 minutes per response. Completed shorter conversational exchanges within 30 minutes. Data Quality Optimization: Adhered to annotation guidelines while performing quality checks to minimize errors in AI-generated content. Ensured the exclusion of violent or discriminatory content during quality control. • Feedback Provision: Evaluated AI model outputs and provided suggestions for improvement, such as correcting unnatural Japanese expressions or recommending trend-based vocabulary additions.
Bachelor's Degree, Aerospace Engineering
Master of Applied Finance, Applied Finance
International Trade Manager
Quality Control Engineer
