Senior Economic Consultant & AI Content Specialist – AI Training/Annotation
Produced structured, research-grade written analyses for AI training datasets, focusing on clarity, factual accuracy, and alignment with project guidelines. Designed and validated computationally intensive statistical and econometric problems using Python for solution verification in AI training workflows. Performed AI output evaluation and pairwise content comparisons, applying academic rubrics for LLM improvement pipelines. • Collaborated with QA teams for annotation consistency and iterative content refinement • Supported annotation, data labeling, and prompt creation for AI/LLM purposes • Engaged in structured feedback and rubric adherence for large-scale model training • Utilized Mindrift, Python, and Internal/Proprietary Tooling for all labeling and evaluation tasks.