Artificial Intelligence Engineer

EducationPals.ai is an AI-native upskilling platform designed so that learning AI and doing one’s job become the same activity. The platform offers profession-specific curricula where employees learn by building tools that deploy directly inside their organizations, resulting in practical capabilities and a tangible portfolio rather than just certificates. EducationPals.ai addresses the widespread AI skills gap by pairing AI access with structured, applied training that fits real workflows. With an adaptive, always-on AI tutor and a learn → build → deploy loop, the company helps teams turn AI literacy into measurable impact and sustained adoption.

Role Description The Artificial Intelligence Engineer intern will support the design, development, and evaluation of AI models that power EducationPals.ai’s adaptive learning experiences. Day-to-day responsibilities include implementing and testing algorithms, experimenting with neural networks and NLP techniques, and contributing to prototypes that enhance personalization, pattern recognition, and tool deployment workflows. The intern will help integrate AI components into production-ready software, collaborate with engineers and product team members to refine features, and assist in documenting models, APIs, and experiments. This is a remote internship role that offers hands-on experience with real-world AI applications in an education-focused environment.

Qualifications

• Strong foundational knowledge in Computer Science and Software Development, including data structures, algorithms, and version control.
• Skills in Neural Networks and Pattern Recognition, with the ability to design, train, and evaluate machine learning models.
• Experience or coursework in Natural Language Processing (NLP), such as text classification, embeddings, or conversational AI.
• Familiarity with Python and common AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and practical experience working with datasets.
• Ability to reason about system design, write clean and maintainable code, and collaborate effectively in a remote, cross-functional team.
• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Curiosity about AI in education, interest in applied learning products, and willingness to experiment, iterate, and learn from feedback.