Data annotation
One of the project is correcting the halucination in LLM, the other one is recording voice in natural language.
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Oneforma – Data Labeling (Korean). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma and Other. Education includes Bachelor’s Degree, Chungnam National University (2014) and Language Course Certificate, Minsk State Linguistic University (2017). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Audio Recording.
One of the project is correcting the halucination in LLM, the other one is recording voice in natural language.
Conduct LLM-related annotation and AI evaluation tasks focusing on Korean language interactions. Review and refine AI-generated Korean responses and prompts to improve quality. Contribute to iterative evaluation loops for model behavior. • Annotate LLM outputs for Korean language tasks • Evaluate response quality and prompt effectiveness • Identify issues such as unsafe, incorrect, or unhelpful outputs • Recommend improvements to prompts and responses
Moderate user-generated Korean content according to safety and compliance guidelines. Ensure cultural appropriateness in evaluation of Korean-language materials. Contribute to consistent moderation decisions for platform trust and safety. • Review and classify Korean user-generated content • Enforce safety and compliance rules • Check for culturally inappropriate or risky content • Support consistent application of moderation guidelines
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