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’s
family 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-aligned
professionals. To learn more, please visit: www.colibrigroup.com
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:
- 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
- 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
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