AI Trainer – Geospatial Domain at Micro1 (AI tutoring/training and QA of model outputs)
Evaluated and reviewed AI-generated responses, workflows, and technical outputs against detailed quality standards. Developed and applied comprehensive evaluation rubrics and quality assurance frameworks to assess AI performance across geospatial and data-analysis scenarios. Designed and validated training datasets, sample projects, and annotation guidelines to improve model understanding of domain-specific workflows and structured problem-solving. • Assessed accuracy, completeness, logical reasoning, and adherence to project requirements • Reviewed formatting and content organization to meet professional/client standards • Refined real-world task prompts used for training and benchmarking large language models • Produced actionable feedback to improve consistency and user experience