AI Research Intern
Owlera
📝 AI Research Intern (Unpaid) ⚠️ Applications will only be accepted through the following site: 👉 www.owlera.site About Owlera Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies. Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers. We're looking for curious, technically minded, and ambitious students to join our AI Engineering Internship and gain hands-on experience building practical AI applications — from prompt engineering and LLM integrations to RAG pipelines and AI agents. About the Internship As an AI Engineering Intern, you'll work on realistic engineering challenges involving prompt design, LLM-powered features, retrieval-augmented generation (RAG), embeddings, and AI agent workflows. You'll learn how AI engineers take business problems and turn them into working AI products — integrating models into applications, evaluating outputs, and iterating on real use cases. Responsibilities * Design and test prompts for real-world LLM use cases. * Build prototype features powered by large language models. * Integrate LLM APIs into simple web applications. * Build and experiment with retrieval-augmented generation (RAG) pipelines. * Work with embeddings, vector databases, and semantic search. * Create AI agents that can reason, use tools, and complete multi-step tasks. * Evaluate AI outputs for accuracy, safety, and usefulness. * Debug and iterate on AI-powered features based on feedback. * Build conversational AI experiences such as chatbots and assistants. * Fine-tune simple models or use few-shot learning for specific tasks. * Process and prepare data for AI workflows (chunking, cleaning, formatting). * Connect AI features to databases and external APIs. * Write clean, readable code for AI experiments and prototypes. * Document AI experiments, prompts, and evaluation results. * Use modern developer tools (Git, notebooks, cloud platforms). * Learn the fundamentals of ML and deep learning concepts. * Collaborate with other interns on cross-functional AI projects. * Turn ambiguous product ideas into structured AI prototypes. Requirements * Current student or recent graduate in Computer Science, AI, Data Science, Software Engineering, or a related field — or a strong self-taught coding portfolio. * Strong interest in artificial intelligence, LLMs, and machine learning. * Basic programming skills (Python is a plus; willingness to learn fast is essential). * Curiosity about how AI systems work under the hood. * Analytical and logical thinking with close attention to detail. * Self-motivated and able to work independently on technical challenges. * Comfortable experimenting, failing fast, and iterating. * Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus. * Previous professional AI engineering experience is not required. What You'll Gain * Hands-on experience building real AI applications, not just theory. * Practical experience with prompt engineering and LLM integrations. * Experience building RAG pipelines and semantic search. * Experience working with AI agents and multi-step AI workflows. * Understanding of how AI features are evaluated and improved. * Practical exposure to Python, APIs, and developer workflows. * Portfolio-ready AI projects built on realistic use cases. * Personalized AI feedback on your work. * Professional certificate upon successful completion. * Mentorship and weekly learning sessions. * Opportunity to strengthen your portfolio, resume, and interview readiness. Internship Details Role: AI Research Intern Location: Remote Type: Internship (Unpaid) Level: Entry Level Duration: 6 Weeks Commitment: Flexible (approximately 10–15 hours per week) If you're passionate about AI and want to learn how real AI products are built, we'd love to hear from you. ⚠️ Apply through: 👉 www.owlera.site Show more
