Responsible AI and Data Governance Intern

Key Responsibilities

Support the development of informed consent processes for data collection and participation.
Assist in creating protocols for data privacy, security, anonymisation, and responsible data use.
Review project activities through a gender, ethics, and safeguarding lens.
Support documentation of data governance policies and standard operating procedures.
Assist in identifying and mitigating risks related to bias, exclusion, discrimination, and misuse of AI systems.
Contribute to discussions on responsible AI, explainability, transparency, and accountability.
Support compliance with applicable data protection and privacy frameworks.
Assist in community engagement processes related to ethical use of data.
Ideal Candidate

Background in law, public policy, ethics, data governance, information management, public health, gender studies, or related fields.
Strong interest in responsible AI, digital rights, privacy, and data protection.
Understanding research ethics and safeguarding principles is an advantage.
Excellent analytical, writing, and documentation skills.
Commitment to community-centered and rights-based approaches.
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.