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Scale AINo subject matter listed
Computer Code Programming
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TextI am an AI Trainer with 10 months of specialized experience at Outlier. - 10 months of experience at Outlier, specializing in red teaming and fact-checking for LLMs. - Combines a technical CS background (42Seoul & KNOU) with expertise in both technical and general language annotation. - Currently serves as both an annotator and a reviewer with a clean record. - Immediately available for annotation projects.
Created and transcribed custom Korean voice data. I personally wrote and recorded sentences, then accurately transcribed the audio for use in training AI models.
Evaluated LLM-generated CS and coding explanations from a pedagogical perspective. Assessed content for effectiveness for learners. Ensuring the material was not only technically accurate but also easy to understand and educationally sound.
Directly engaged with a voice-based conversational AI to evaluate its performance and overall usefulness. Assessed the quality of conversations. primarily in Korean. This role also involved testing the model's ability to robustly handle interactions that mixed both Korean and English.
Conducted red teaming on LLM image generation models to identify and assess the generation of harmful, biased, or inappropriate visual content, with a specific focus on evaluating its cultural and regional context to determine its potential for harm.
Verified the factual accuracy of an LLM's Korean-language responses. Identified misinformation and hallucinations by cross-referencing claims with reliable sources to improve model reliability.
Bachelor of Science, Computer Science
Cadet, Computer Science
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