The NLP and AI Intern will support the development of English and Swahili language resources and early AI/NLP workflows for FemDigiNomics.

We are a Pan-African social impact organisation advancing gender justice in health systems through inclusive financing, community-led care, and feminist leadership.

Responsibilities or duties

• Support the collection, cleaning, translation, and annotation of Swahili and mixed language narratives.
• Help develop language categories around savings, debt, chama obligations, business risk, care work, health shocks, and lending readiness.
• Assist in testing simple NLP workflows for classifying women’s needs, barriers, and support pathways.
• Support documentation of language resources, annotation protocols, and model/testing outputs.
• Contribute to responsible AI discussions, including bias, explainability, privacy, and ethical use of women’s data. Work with community and research teams to ensure language tools reflect how women actually describe their economic realities.

Qualifications or requirements

• Background in computer science, data science, computational linguistics, AI, NLP, information systems, or related fields.
• Interest in African languages, especially Swahili and Sheng.
• Basic knowledge of Python, NLP libraries, machine learning, data annotation, or language data processing is an advantage.
• Strong commitment to ethical, community-grounded AI.

Experience needed

Not specified.

• Support the collection, cleaning, translation, and annotation of Swahili and mixed language narratives.
• Help develop language categories around savings, debt, chama obligations, business risk, care work, health shocks, and lending readiness.
• Assist in testing simple NLP workflows for classifying women’s needs, barriers, and support pathways.
• Support documentation of language resources, annotation protocols, and model/testing outputs.
• Contribute to responsible AI discussions, including bias, explainability, privacy, and ethical use of women’s data. Work with community and research teams to ensure language tools reflect how women actually describe their economic realities.

• Basic knowledge of Python, NLP libraries, machine learning, data annotation, or language data processing is an advantage.
• Strong commitment to ethical, community-grounded AI.

• Background in computer science, data science, computational linguistics, AI, NLP, information systems, or related fields.
• Interest in African languages, especially Swahili and Sheng.