QED.ai (https://qed.ai) is a tech company focused on public health and food security in Sub-Saharan Africa. We build the digital infrastructure and artificial intelligence that empowers the intersection of aid and scientific inquiry, including epidemiological surveillance
General Information Press space or enter keys to toggle section visibility Work Location: Los Angeles, CA, USA Onsite or Remote Fully On-Site Work Schedule Monday-Friday, variable hours Posted Date 07/17/2026 Salary Range: $19.2 - 41 Hourly
General Information Press space or enter keys to toggle section visibility Work Location: Los Angeles, CA, USA Onsite or Remote Fully On-Site Work Schedule Monday-Friday 8am-5pm Posted Date 07/21/2026 Salary Range: $39.48 - 82.27 Hourly Employment
We are seeking a motivated graduate intern with foundational knowledge in systems development, data analysis, and an understanding of programming concepts to support our ongoing efforts. Duration: 12 months Location: Ibadan Closing Date: 10 July, 2026 Key Responsibilities
This is a remote position. The FlexiSAF Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Software Development. You will learn based on a self-study approach, carry out tasks
This is a remote position. At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions. We believe that data science and artificial intelligence (AI) are two of the most
At Awarri, our mission is to build technology that can be deployed globally to inspire, entertain and educate for a fairer and more equitable world. We are committed to the democratisation of frontier technology on the
At Awarri, our mission is to enable the development and adoption of frontier technology on the African continent, starting in Nigeria, by building lasting technology solutions and creating a brighter future using the power of AI.
The engagement of these staff will close a critical gap existing within the portfolio’s programming for adolescent health and girl capital work. The funders have, in many ways, communicated increased interest in the MERL deliverables, prioritising data mining/synthesis,