AI Output Evaluator for OpenTrain AI Platform
Evaluated AI-generated outputs by applying structured rubrics to assess correctness, completeness, and reasoning quality. Conducted systematic reviews of text-based AI responses for quality assurance and benchmarking. Ensured the reliability and accuracy of evaluation data used for improving model performance. • Applied qualitative and quantitative criteria to AI-generated content • Provided detailed feedback on accuracy and reasoning • Participated in iterative improvement cycles for evaluation rubrics • Maintained 95%+ precision in assessment outcomes