AI training and data annotation (target/intent): dataset creation, response evaluation, fact checking, and educational content quality assurance
TextProvided AI training and data annotation support through educational dataset creation and response evaluation, emphasizing fact checking and educational content quality assurance. Applied scientific reasoning and assessment expertise to evaluate educational responses for accuracy, completeness, and alignment with learning goals. Leveraged physics and STEM subject knowledge to judge the correctness of educational outputs and ensure consistent annotation standards. • Dataset creation for educational/QA-style materials • Response evaluation and fact checking for accuracy • Educational content quality assurance and rating • Ensuring alignment with curriculum and learning objectives
2020 - Present