Minnesota State University
Master of Science, Applied Economics
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I am a detail-oriented data annotation and AI evaluation specialist with hands-on experience designing and evaluating complex tasks for large language models and agent-based AI systems. My background in economics and accounting enables me to create structured, domain-specific datasets and rigorous scoring rubrics for tasks involving financial reconciliation, economic modeling, and multi-step data analysis. I have completed freelance projects involving text evaluation, fact-checking, dataset cleaning, and chain-of-thought analysis, and I am proficient in Python (Pandas, NumPy), SQL, and Excel. I excel at transforming unstructured data into high-quality training sets, crafting precise prompts for LLMs, and ensuring output consistency and accuracy. My strong analytical skills, advanced English proficiency, and adaptability allow me to quickly master new guidelines and contribute effectively to remote, cross-functional teams.
Abigael K. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Applied Economics
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