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Data Annotation Tech
Lionbridge
Scale AINo subject matter listed
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TextI have extensive experience in RLHF evaluation and have been promoted to Senior Reviewer, where I reviewed and approved other annotators’ work to maintain high quality across projects. My performance led to being selected as a candidate for the final QA auditor role. Beyond standard evaluation tasks, I have also conducted multimodal reviews, such as assessing whether AI models correctly interpreted chemistry-related diagrams and domain-specific prompts. My background in reading, writing, acting, and translation contributes to strong linguistic sensitivity, particularly in Korean. I excel in localization-focused work and can accurately identify subtle grammatical distinctions, including particles, honorifics, and contextual nuance. These strengths allow me to deliver precise, culturally aligned translations and highly detailed evaluation feedback.
Created prompts according to task guidelines, evaluated model responses for quality and compliance, and was promoted to Reviewer based on consistent high performance.
Translate English content into Korean while adapting cultural context, references, and character details to ensure the text is natural and appropriate for Korean users.
Evaluate whether AI-generated chemistry diagrams such as molecular structures, chemical formulas, and bonding representations are scientifically accurate and correctly constructed, identifying errors or structural inconsistencies.
Labeled the appropriate tone, intonation, and vocal style for how a response should be spoken, based on the given prompt.
Evaluate responses generated by two different AI models using the same prompt, compare their quality, and write a justification explaining which model performed better and why.
Bachelor's, Curatorial Studies
Communications Specialist
