Sogang University, Korea
PhD, Political Science
Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
No software listed
While I may not have direct experience in conventional data labeling or AI training data, my unique background in geopolitical analysis and media monitoring provides me with a strong foundation in data organization, analysis, and categorization. I have hands-on experience in mapping North Korean geography based on testimonies from defectors, a task that involved accurately interpreting and cross-referencing qualitative data to produce reliable geographical information. This work required meticulous attention to detail, as well as a deep understanding of the cultural and political context, which is critical in ensuring the accuracy and relevance of the data. In addition, I have worked with MBC, a major South Korean broadcasting company, where I was responsible for watching North Korean broadcasts and organizing video content by keywords. This task involved not only careful analysis and categorization of visual and spoken content but also the ability to identify and extract key information relevant to the broader context of the material. My academic background in political science and linguistics, with over a decade of experience in research and data analysis, further strengthens my ability to approach data labeling with a methodical and analytical mindset. These experiences have honed my skills in qualitative data analysis, content categorization, and contextual understanding, all of which are essential for effective data labeling in AI projects.
Seo Yeon S. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
PhD, Political Science
MA, Political Science
Korean & English language teacher
Political Researcher