AI Evaluation and Data Annotation Work (academic/research projects)
TextReviewed and interpreted complex technical, environmental, and scientific datasets for accuracy and consistency in support of AI/ML evaluation workflows. Evaluated outputs, identified inconsistencies, and validated data quality based on defined annotation guidelines. Leveraged reasoning skills and technical knowledge to structure responses for AI response evaluation projects. Demonstrated capability to follow precise instructions and produce structured feedback needed for AI system improvement. • Conducted quality assurance reviews of annotated data. • Interpreted technical terminology from environmental and engineering domains. • Utilized digital tools for annotation and documentation. • Produced structured written assessments for AI evaluation datasets.