AI Engineering Intern
At Colibri, culture is a critical part of our collective success, and we live our values everyday: Love, Joy,Boldness, Teamwork and Curiosity. These values guide our interactions with each other, our customers,and the community as a whole.
We have a rich and storied history. Colibri is one of the pioneers of online professional education,introducing some of the first web-based professional education courses in 2001. Today, the company’sfamily of brands are the leading online professional education platforms in their respective end-markets.We proudly serve >1 million customers annually and employ more than 1,500 mission-alignedprofessionals. To learn more, please visit: www.colibrigroup.com
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
What You'll Need to Succeed:
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
Interest in AI safety, responsible AI, or evaluation methodologies is a strong plus
Excellent communication and collaboration skills
Self-motivated, proactive, and eager to learn in a fast-paced environment
Colibri Group welcomes applicants from all backgrounds and experiences, and we understand that not every candidate will meet every requirement listed in the job description. Research has shown that women and people of color may be less likely to apply to jobs unless they feel they meet every qualification, and we want to actively combat this bias in our hiring process. If you're excited about the role and believe you have the skills and experience to contribute to our team, we encourage you to apply, even if your background doesn't align perfectly with every qualification listed. We are committed to building a diverse and inclusive workplace, and we believe that diversity of perspectives and experiences is essential to our success. You may be just the right candidate for this role or another position within our organization. Don't hesitate to take the leap and apply today!
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Position Overview:
We are seeking a highly motivated AI Engineering Intern to join our growing team and contribute to innovative work at the intersection of EdTech and artificial intelligence. This internship is designed to provide hands-on, real-world experience building and evaluating AI systems that power educational products used by both learners and content creators.
As part of a small, high-impact inaugural intern cohort, you will work closely with senior engineers and team leads on meaningful projects, including evaluating AI behavior and improving system alignment in regulated learning environments. This role offers a unique opportunity to gain exposure to applied machine learning, AI safety concepts, and responsible AI practices—while contributing directly to production-facing initiatives.
This internship also serves as a potential pathway to full-time employment, with strong performers considered for future conversion as the program scales.
What You'll Do: