AI Researcher Analyst (Intern)

About Hannoworks

Hannoworks designs cutting-edge AI solutions, blending business strategy and advanced technology. As part of our mission-driven team, you’ll help decode the world’s most innovative company business models and dissect the tech driving them forward.

As AI Research Analyst (Intern) at Hannoworks, you will dive deep into how different companies operate, analyze their core business models, and investigate the underlying tech stacks—especially in digital and AI-powered products. You’ll not just skim the surface but explore the granular details that set successful business and technology strategies apart in a competitive world.

Responsibilities

• Analyze and Compare Business Models: Explore, document, and contrast diverse company business models such as product, service, subscription, marketplace, and bundling.
• Deep Tech Stack Research: Map out typical technology stacks for AI companies (including infrastructure, data pipelines, ML frameworks, cloud platforms) and assess how these choices align with products and business value.
• RAG Systems & AI Native Products: Research RAG (Retrieval-Augmented Generation) architectures and the ecosystem of AI-native digital products, identifying what makes advanced AI integration successful or innovative.
• Real-World Product Insight: Study digital products—from cloud SaaS to consumer AI tools—to understand market fit, monetization, and the tech powering them.
• Present Research: Summarize findings in clear, well-structured reports (written and visual), and present insights to research and product teams.

Qualification

Open qualification—if you have the skills, you are welcome.

Skills and Requirements

• Python Basics: Comfortable using Python for research, scripting, or automation tasks.
• Project Portfolio: At least one AI or tech project demonstrable on your GitHub profile.
• Curiosity for Tech & AI: Genuinely passionate about technology, with a habit of exploring, tinkering, and learning—especially around latest AI/ML and digital product trends.
• Understanding of Digital AI Products: Familiar with modern digital tools and platforms leveraging AI (can explain the value they create).
• Knowledge of RAG Systems: Understand how retrieval-augmented generation works, and can discuss its application in AI products.
• AI-Native Mindset: An “AI native”—someone who intuitively grasps how AI stacks, agents, and emerging products come together to create business and technical value.
• Communication: Ability to document research clearly and share insights—both in writing and when presenting.
• Self-driven: Independent learner, able to set research direction with minimal supervision.

Bonus Points

• Familiarity with business frameworks (e.g., B2B, B2C, SaaS, freemium, marketplace, etc.).
• Experience with data visualization or reporting tools.
• Prior work on AI-powered or digital products—even if just prototypes.