AI Engineering Intern at Colibri Group in Remote

Summary: Colibri Group is a pioneer in online professional education, serving over 1 million customers annually. They are seeking an AI Engineering Intern to contribute to innovative work at the intersection of EdTech and artificial intelligence, providing hands-on experience in building and evaluating AI systems for educational products. Responsibilities: - Collaborate with senior engineers and mentors to support the development and evaluation of AI-powered educational tools - Contribute to research-backed initiatives focused on improving AI system behavior, including identifying and measuring issues such as model bias and misalignment (e.g., sycophancy) - Assist in designing and executing experiments to evaluate AI performance in real-world learning scenarios - Translate evaluation findings into actionable insights that improve AI system quality and reliability - Support the mapping of AI evaluation work to established governance or responsible AI frameworks - Participate in code reviews, team discussions, and knowledge-sharing sessions - Take ownership of defined tasks while demonstrating initiative and creative problem-solving Required Qualifications: - Currently in your final year of a Bachelor's or Master's program (graduating soon) or recently graduated in Computer Science, Engineering, or a related field - Strong curiosity about AI, machine learning, and their real-world applications—especially in education - Demonstrated ingenuity and problem-solving ability, with a willingness to explore ambiguous challenges - Ability to take direction and independently translate guidance into meaningful outputs - Foundational knowledge of programming (e.g., Python) and familiarity with machine learning concepts - Excellent communication and collaboration skills - Self-motivated, proactive, and eager to learn in a fast-paced environment Preferred Qualifications: - Interest in AI safety, responsible AI, or evaluation methodologies is a strong plus Required Skills: Artificial Intelligence, Machine Learning, Python programming, AI safety, Responsible AI, AI evaluation methodologies, Curiosity