About the Company

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

Key responsibilities

• Support the collection, cleaning, translation, and annotation of Swahili and mixedlanguage 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.

Ideal candidate

• 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.

Cross-Cutting Requirements for All Interns

All applicants should demonstrate:

• Strong interest in women’s economic opportunity, gender justice, financial inclusion, and health equity.
• Respect for community knowledge, lived experience, and ethical data practices.
• Ability to work with low-income women and grassroots partners with dignity and sensitivity.
• Good writing, documentation, and communication skills.
• Fluency in English and Swahili.
• Ability to work independently and as part of a multidisciplinary team.
• Willingness to learn and work across research, programme implementation, technology, and community engagement.

What Interns Will Gain

Interns will gain practical experience in:

• Community-rooted AI and NLP for African languages.
• Women’s financial inclusion and lending readiness.
• Participatory research and data collection.
• Responsible AI, data governance, and ethical use of community data.
• Programme implementation with grassroots women’s organisations.
• Translating research and data into practical tools for low-income women.
• Working at the intersection of gender justice, economic opportunity, health, and technology.

• Support the collection, cleaning, translation, and annotation of Swahili and mixedlanguage 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.
• Good writing, documentation, and communication skills.
• Fluency in English and Swahili.
• Ability to work independently and as part of a multidisciplinary team.
• Willingness to learn and work across research, programme implementation, technology, and community engagement.

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