Bachelor's and/or Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Background in QA, software testing, data analysis, or NLP annotation. Good understanding of test design principles (e.g., reproducibility, coverage, edge cases). Strong written communication skills in English. Comfortable with structured formats like JSON/YAML for scenario description. Can define expected agent behaviors (gold paths) and scoring logic. Basic experience with Python and JS. Curious and open to working with AI-generated content, agent logs, and prompt-based behavior.