Code for Africa (CfA) Al for Good Fellowship 2025 ($500 stipend per month)

Are you an Al professional who understands how to compose prompts to get the most out of Al tools? If yes, apply for the Code for Africa (CA) Al for Good Fellowship 2025.

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About Code for Africa Al for Good Fellowship

Opportunity Details

The Digitalise Youth consortium, through Code for Africa (CA), is offering six fellowships to technologists in Africa to work with human rights defending (HRD) organisations to assist them in rapidly scaling up their interventions through the savvy use of Al technology. The HRDs will be located in the Sahel, as well as neighbouring countries in West and East Africa, so familiarity with the region is a must.

Under this fellowship, technologists will support HDs to build on their existing Al-based initiatives and resources or develop new tools or solutions. Fellows must therefore have proven experience in Al/ML prompt engineering or modelling, and a strong commitment to human rights and ethical Al. Activities will include co-designing Al tools with HRDs, ensuring ethical compliance in Al deployments, and generating actionable insights to inform policy and advocacy.

Fellows will either develop Al-powered solutions within their own technology teams or collaborate with experts to build them. These solutions may include natural language processing (NLP) models for detecting harmful content, big data tools for mapping disinformation networks, and automation systems for civic engagement platforms.

Deliverables will include research briefs, prototype Al models, and strategic plans for scaling Al-driven interventions that strengthen HDs' work and safeguard public discourse. Selected fellows will receive support from CA's TechLab, DataLab, and Al Sandbox, alongside mentorship from global Al experts, CSOs, and policymakers. Partners include climate resilience networks, public health organisations, and digital rights advocates, providing resources for prototyping, testing, and scaling solutions.

Benefits of Code for Africa Al for Good Fellowship

  1. Stipend: $500/month 
  2. Duration:  Four months
  3. Mentorship: Guidance from CfA’s TechLab and support from partner institutions at the Digitalise Youth consortium.
  4. Network: Collaborate with the consortium and its regional networks.
  5. Real world impact: Opportunity to work with HRD organisations to implement solutions to existing challenges.
  6. Showcase : Present capstone projects to local, national, continental, and global partners, and at events.

Code for Africa Al for Good Fellowship Requirements

They seek problem-solvers with:

  • Social Impact – Demonstrated experience in developing AI-driven solutions that enhance civic information, support human rights defenders, or address societal challenges.
  • Data Fluency – Expertise in collecting, cleaning, and analysing socio-economic or environmental datasets.
  • Design Thinking – Skill in co-creating solutions with communities and CSOs.
  • Prototyping Experience – Track record of testing AI solutions in resource-constrained settings.
  • Scalability Planning – Ability to design tools for broad adoption across diverse regions.
  • Technical Proficiency –  Experience in AI modelling (NLP, computer vision, predictive analytics).
  • Ethical AI Practices – Commitment to fairness, transparency, and inclusivity in AI design.
  • Collaboration Skills – Experience working with policymakers or grassroots organisations.
  • Fluency in either English/French/Arabic
  • Familiarity with open-source tools and open-data principles.
  • Applicants must demonstrate ties to African communities.
  • Location: Senegal, Mauritania, Mali, Burkina Faso, Niger, Chad, Sudan, Guinea, Benin, Togo, Cameroon, South Sudan, Ethiopia, Somalia.

Application Date and Process

Eligible candidates are invited to fill out the application form by 14th April 2025 to join a transformative cohort of innovators addressing the Sahel’s most pressing challenges through ethical AI.

Application Deadline

14 April, 2025

Scholarship Application Portal

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