AI EVALUATION & TESTING INTERN

About the program EduRankAI invites applications for the position of AI Evaluation Testing Intern to join its Artificial Intelligence Quality Engineering and Evaluation team. This fulltime internship is designed for students and recent graduates who are passionate about Artificial Intelligence, Machine Learning, AI Quality Assurance, model evaluation, software testing, benchmarking, responsible AI, AI safety, and researchdriven product development. As an AI Evaluation Testing Intern, you will contribute to the development of robust evaluation frameworks that ensure the reliability, fairness, safety, and performance of nextgeneration AI systems powering EduRankAI's products and research initiatives. As an AI Evaluation Testing Intern, you will work closely with AI researchers, machine learning engineers, product teams, and quality engineering professionals to design comprehensive evaluation methodologies for AI models before production deployment. Your responsibilities will include designing test cases for AIpowered features, creating evaluation benchmarks, executing regression testing for model updates, analysing AIgenerated outputs, identifying quality regressions, supporting bias and fairness assessments, performing safety evaluations, validating model consistency across multiple scenarios, documenting evaluation methodologies, preparing technical reports, maintaining testing datasets, assisting in prompt and response validation, supporting continuous improvement of AI evaluation pipelines, and collaborating across multidisciplinary teams to improve overall model quality and reliability. Applicants should possess a basic understanding of Artificial Intelligence, Machine Learning fundamentals, software testing methodologies, Python programming, statistics, data analysis, and analytical reasoning. Familiarity with AI model evaluation, regression testing, quality assurance processes, prompt engineering, natural language processing NLP, Large Language Models LLMs, responsible AI principles, automation testing, Git, spreadsheets, or scripting tools will be considered an advantage but is not mandatory. Candidates with academic projects, research experience, or personal projects related to AI, software testing, data science, or machine learning are encouraged to apply. Throughout the internship, interns will receive structured mentorship, technical guidance, continuous learning support, and exposure to realworld AI evaluation workflows. Participants will gain practical experience in AI quality assurance, benchmarking, regression testing, AI safety evaluation, bias detection, prompt evaluation, documentation standards, research methodologies, engineering collaboration, and responsible AI practices while contributing directly to live AI products and research initiatives. We are looking for candidates with excellent analytical ability, attention to detail, logical thinking, curiosity, problemsolving skills, documentation discipline, communication skills, adaptability, ownership, teamwork, and a qualityfirst mindset. The internship is primarily conducted onsite at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional, preapproved cases. Applications submitted under EduRankAI's Talent Accessibility Initiative are completely free. This is an unpaid internship intended to provide meaningful industry exposure, structured mentorship, handson AI evaluation experience, professional portfolio development, and opportunities for outstanding performers to be considered for advanced AI projects, internship extensions, preplacement interviews, research collaborations, or future fulltime opportunities based on performance and organizational requirements. Perks Certificate of Completion Letter of Recommendation for exceptional performers Mentorship from Senior AI Researchers, Machine Learning Engineers, and Quality Engineers Hands-on experience with live AI evaluation and testing projects Exposure to AI benchmarking, regression testing, bias evaluation, and responsible AI practices Opportunity to contribute to production AI systems and evaluation frameworks Professional portfolio development Cross-functional collaboration with AI research, engineering, and product teams Performance-based Pre-Placement Interview opportunity Exposure to cutting-edge Artificial Intelligence technologies and evaluation methodologies Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement This is a full-time internship requiring a commitment of six days per week, for a duration of three months. The internship is primarily conducted on-site at the EduRankAI campus with structured mentorship and collaborative engineering activities. Remote participation may be permitted only in exceptional cases with prior organizational approval. Interns will contribute to live AI evaluation and quality engineering projects while maintaining professionalism, confidentiality, documentation standards, engineering best practices, responsible AI principles, and project timelines. Participants will collaborate with multidisciplinary teams, assist in benchmarking and regression testing, evaluate AI quality and safety, document findings, participate in technical reviews, and support continuous improvement initiatives. Successful completion of the internship will be evaluated based on technical competency, analytical ability, testing quality, documentation standards, collaboration, ownership, consistency, professionalism, and overall contribution throughout the internship. Number of openings 10