AI Learning Solutions intern  

Join MSF OCG as an AI Learning Solutions intern!

We are looking for passionate candidates ready to contribute to our humanitarian mission.

Below, you will find the job details and the qualifications we are looking for.

This internship is part of an academic training program, a professional training program, or a socio-professional integration program, and must comply with the conditions set by the Employment Market Supervisory Council (CSME). The duration of the internship, as defined by the tripartite agreement, is 6 to 12 months at 100%

Inclusivity and Diversity at MSF

Do your qualifications and experience not exactly match all requirements of the job?

At MSF OCG, we are committed to an inclusive culture that supports and amplifies the diverse voices of our staff members. We strive to create workplaces where teams of people with diverse backgrounds, characteristics, perspectives, ideas and experiences work together to advance MSF's social mission and create better outcomes for our patients and the communities we work with.

We understand that some people may hesitate to apply for employment if they don't meet all listed job requirements. Research shows that this is especially true for women. If you believe your profile is a good match for this position, we invite you to apply even if you don't fulfil every listed qualification.

We encourage applications from individuals of all genders, ages, sexual orientations, ethnicities, background, religions, beliefs, ability status, and all other diversity characteristics.

MSF does not tolerate sexual exploitation and abuse, any kind of discrimination or harassment, including sexual harassment. All selected candidates will undergo reference checks.

Context & mission

Médecins Sans Frontières is an independent, international medical and humanitarian organization that provides care to people in need, people affected by natural or man-made disasters, and victims of armed conflict, without discrimination and without regard to race, religion, creed or political affiliation (MSF Charter).

The Learning & Development Department provides and coordinates learning opportunities accessible to diverse MSF contexts. As part of its AI vision, the department is exploring innovative solutions to improve access to training content and support personalized learning pathways for MSF staff.

The AI Learning Solutions Intern will actively contribute to the design, development, configuration, and testing of AI-enabled learning solutions, including Retrieval Augmented Generation (RAG) chatbots, AI-assisted knowledge retrieval systems, and personalized learning recommendation tools based on skills, profiles, and learning needs.

The intern will contribute to the technical implementation and continuous improvement of AI-supported learning services in collaboration with L&D, IT and other business stakeholders.

Learning Outcomes

By the end of the internship, the intern is expected to:

• Gain practical experience in the design and implementation of AI-enabled learning and knowledge management solutions.
• Develop hands-on skills in RAG application development, knowledge retrieval workflows, prompt engineering and AI response evaluation.
• Understand the design and implementation of AI-powered recommendation systems for personalized learning experiences.
• Strengthen analytical and technical skills related to data organization, testing, and user-centered solution development.
• Learn how to collaborate in a cross-functional and international environment involving L&D, IT and other business stakeholders.
• Understand how AI solutions are designed, tested and governed within a humanitarian organization

Tasks and responsibilities

• Contribute to the development, configuration, and testing of Retrieval Augmented
• Generation (RAG) chatbots and AI-assisted knowledge retrieval systems.
• Support the integration, structuring, and preparation of learning content and metadata for AI indexing, semantic search, and knowledge retrieval workflows.
• Participate in the design and testing of personalized learning recommendation mechanisms based on user profiles, skills, competencies, and learning pathways.
• Assist in prompt engineering, AI testing, response evaluation, and troubleshooting activities to improve system relevance, accuracy, and usability.
• Analyse user needs, learning pathways, and usage patterns to support the development of personalized and AI-assisted learning experiences.
• Contribute to the definition and implementation of metadata schemas, taxonomy structures, tagging standards, and content governance practices supporting AI solutions.
• Collaborate with L&D, IT and other stakeholders to prototype, document, test, and improve AI-supported learning and knowledge management solutions.
• Prepare technical documentation, presentations, reports, and recommendations supporting the evolution of AI-supported learning services.

Your profile

• Have a tripartite internship agreement
• Bachelor's degree (atteigned or in progress) in Learning Technologies, Information Management, Data Science, Computer Science, Knowledge Management, Educational Technology, or related field.
• Master's degree or ongoing specialization in AI, Learning Sciences, Knowledge Management, or Digital Transformation a plus.
• English and French: excellent writing and communication skills
• Previous academic or internship experience related to AI tools, learning platforms, data structuring, or knowledge management is an asset but not required.
• Learning and AI: AI-assisted search, Retrieval augmented generation (RAG), Metadata and content organization
• Software and tools: Sharepoint, Microsoft 365, Azure AI Studio, MS Copilot Studio
• Programming: SQL, python, APIs, prompt engineering, Git, LangChain or similar orchestration frameworks
• Curiosity and willingness to learn, Attention to detail, Analytical thinking, Team and collaboration skills, Accountability, Flexibility, Ethical awareness, Taking initiative

Terms of employment

• A tripartite internship agreement is mandatory
• Up to 6 months, according to internship agreement
• Full time (40h/week)
• Based in Geneva, Switzerland
• Start date : As Soon As Possible
• Gross monthly remuneration 2'000.- CHF

How to apply

Candidates are invited to submit their application exclusively through our recruitment platform, following these guidelines:

• CV (maximum 2 pages)
• Cover letter (maximum 1 page)
• Documents must be submitted in either English or French.

The application deadline is September 6th 2026.

We reserve the right to close this vacancy earlier if we receive a sufficient number of quality applications.

APPLY HERE

All applications will be treated confidentially.

Only shortlisted candidates will be contacted.

Please note that we do not wish to use the services of recruitment or placement agencies.