AI Data Solutions Intern – Data Partnerships

ABOUT MISTRAL

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

About the Role

Join Mistral AI's Data Partnerships team and help shape the future of AI data. Working closely with cross functional teams, including IP & Licensing, Engineering, and Research, you will contribute to the processes and initiatives that enable high quality data to support frontier AI development.

As an AI Data Solutions Intern, you will become an expert user of internal tools and workflows that support our data partnerships initiatives related to STEM academic content. For the next 6 months, you will analyze existing processes, identify opportunities to improve efficiency and scalability, and explore how AI can be applied to solve complex operational challenges. Your insights will help inform product improvements and contribute to the evolution of our internal capabilities.

This role is ideal for someone who enjoys solving complex problems with AI, is excited about emerging technologies, and wants to design smarter ways of working through experimentation, analysis, and thoughtful collaboration.

What You Will Do

• Analyze data, workflows, and user feedback to identify improvement opportunities.

• Prototype and evaluate AI-enabled solutions using Python, SQL, spreadsheets, APIs, or LLMs.

• Conduct research and analysis to support product, partnership, and operational decisions.

• Support content discovery and evaluate high quality data sources for AI applications.