Ingrid Cui
Ai Data Annotator, Reinforcement Learning from Human Feedback @DataAnnotation
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WORK HISTORY
Ai Data Annotator, Reinforcement Learning from Human Feedback @DataAnnotation
Evaluated LLM responses to user prompts for factual accuracy, instruction following, content completeness, stylistic verbosity, writing quality, and safety (e.g. screening for hate speech, political bias, and instances of inciting, enabling or abetting a wide range of crimes).• Worked with text, image, audio, video, mobile, laptop, desktop, Google Workspace, Facebook Groups, Instagram Reels, and Threads-based LLMs.• Constructed ideal responses to a wide variety of prompts that went toward training LLMs for future deployment in tasks involving the analysis of images, videos, infographics, and how-to instructions; the generation and critique of creative and literary works, theoretical and academic essay-based writing, and governmental and non-profit policy documents; as well as the generation of clear and personalized answers to user questions ranging both in substantive scope and formal length.• Constructed complex and nuanced prompts designed to test various capabilities of different LLMs, such as information retrieval from 100+ page documents, correct following of complex and detailed instructions (numbering 10-20+ steps), textual analysis of pieces (2-5 paragraphs in length), among other use cases.
EDUCATION
University of Toronto - University of Trinity College
Honours Bachelor of Arts - HBA
Lorne Park Secondary School
High School Diploma, Regional Enhanced Program
University of Oxford
Master of Philosophy - MPhil
ABOUT INGRID CUI
MPhil Candidate in Political Theory at the University of Oxford (20••••27) and graduate, High Distinction, of the Honours Bachelor of Arts in International Relations, Philosophy and Political Science at Trinity College in the University of Toronto (20••••23). Interested in political economy, political history, economic history, the history of economic thought and European social, political and critical theory of the nineteenth and twentieth centuries; information theory and first generation cybernetics, the economics of information, the history of intellectual property in legal and business management contexts, the theory and practice of digital humanities, and evolving debates in science and technology policy; the theory and techniques of formal modelling, statistical analysis, econometrics, data analytics and, in general, quantitative social science; and the history and theory of nineteenth-century classical psychiatry and twentieth-century psychoanalysis from Freud to Lacan. Currently working on a theory of the politico-economic transformations in Western capitalism from the Golden Age of Capitalism (1945-70s) to the post-Fordist age of neoliberalism (1970s-2020s) and the impact of this shift on the theoretical production, political practice, and social-ontological self-conception of the Left. 6+ years of experience in academic research, writing, editing and mentorship. Additional experience (1 year, during global COVID-19 pandemic) in student leadership, student government, and university governance. Recent (2024-) and ongoing experience in data annotation and reinforcement learning from human feedback (RLHF) for large language artificial intelligence (AI) models (e.g. ChatGPT). Recent (2025-) and ongoing experience in digital marketing and business outreach for a small business in the architectural design & consulting industry in the Greater Toronto Area, Canada.
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