NLP and AI Intern

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.
Check how your CV aligns with this job

Method of Application
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.