Analytical Agricultural Scientist - LLM Training (STEM/Agriculture Data Annotation)
Participated in training Large Language Models (LLMs) in STEM and agricultural domains by identifying technical inaccuracies in data. Ensured scientific protocols were followed for quality-controlled data annotation and technical fact-checking. Maintained high attention to detail while auditing and optimizing labeled data used in AI systems. • Conducted detail-oriented data annotation of technical and scientific content. • Optimized prompts and performed scientific writing for data labeling tasks. • Fact-checked and verified labeled data for accuracy and protocol adherence. • Collaborated with teams to audit and deliver high-quality labeled reports.