Independent Study Resource Development (Self-directed) — AI-training-adjacent annotation & quality evaluation through content curation
Self-directed study resource development focused on evaluating content quality and synthesizing complex scientific and course material into clear written outputs. The work involved careful review of past exam analysis and model answers to ensure factual accuracy and logical consistency. This aligns with AI training needs where annotators validate correctness and refine written responses for downstream model learning. • Reviewed and assessed quality of study content across 15+ geology courses • Synthesized concepts into well-structured, accurate written explanations • Performed fact-checking and cross-referencing of technical information • Produced prompt-like textual outputs (concept summaries and model-answer style writing)