Jobs and Opportunities at EdTech Hub
About EdTech Hub
Our goal is to empower people making decisions about technology in education.
Even before the Covid-19 pandemic, the global learning crisis was affecting millions of children around the world.
Technology could play a huge role in helping to solve this crisis, if used appropriately.
There are thousands of tools, products, services, and ideas for using technology in education. New ones appear almost every day. For decision-makers, the choices can be overwhelming. The EdTech Hub takes away that burden.
We do the research, to rigorous academic standards. We try out new ideas by supporting innovators. We advise partners as they plan and implement education programs, finding the right role for technology.
With EdTech Hub’s help, decision-makers inside and outside government can benefit from free access to high quality professional research and advice.
Current Opportunities
Call for applications: AI Developer Support for Improving Metadata on Nigeria’s eLearn Platform
Role description
EdTech Hub is a global research partnership that aims to empower people by giving them the evidence they need to make decisions about technology in education.
We understand that Artificial Intelligence (AI) in global education is set to widen the digital divide unless we design for the alternative from the outset. Many low- and middle-income countries (LMICs) lack the frameworks to easily assess the effectiveness and appropriateness of products, nor do they have comprehensive AI regulations and policies.
To tackle these challenges, EdTech Hub has launched the AI Observatory and Action Lab initiative. This programme aims to identify unmet requirements in product trustworthiness, policy development, and funding needs. Under the AI Observatory and Action Lab is the FCDO On Demand Service, which aims to equip FCDO Education Advisors working closely with ministries of education and other stakeholders with the capacity, expertise, resources, and evidence they need to make informed decisions about integrating AI in education systems.
The On-Demand Service is currently supporting the Partnership for Learning for All in Nigeria (PLANE) programme, FCDO Nigeria, and the Federal Ministry of Education (FME) to strengthen Nigeria’s national eLearn platform – a key digital learning initiative that aggregates content from two major LMS platforms, Inspire and Ignite. With over 60,000 digital resources for teachers and students, the platform plays a central role in Nigeria’s efforts to improve foundational learning outcomes.
However, poor metadata and limited resource descriptions are undermining the platform’s usability. To address this, the on-demand service is supporting partners to explore how generative AI can be used to enhance resource descriptions, ultimately improving content discoverability and navigation on the platform. The engagement will begin by developing an AI-enabled solution to enrich a sample of resource entries – adding clear, consistent, and context-rich descriptions – and, if successful, will scale to improve metadata across the entire repository.
Responsibilities
To support this On-Demand engagement, we are seeking an AI Developer Consultant to design and implement a generative AI model that enhances resource descriptions for Inspire and Ignite content on Nigeria’s eLearn platform. The consultant will test the model on a sample of resources and refine it through iterative user feedback to assess the model’s effectiveness and potential for scaling across the full eLearn repository. The consultant will work closely with the On Demand team and in-country stakeholders throughout the model development and testing process with the following responsibilities:
- Develop and apply a generative AI solution to produce improved resource descriptions for a sample of content from the Ignite and/or Inspire platforms.
- Collaborate with the project team to integrate user feedback from teachers, curriculum experts, and/or other stakeholders in Nigeria, using this input to iteratively refine the AI model.
- Provide technical input into nimble cost modeling efforts, helping to estimate the resources required to scale the AI solution across the full eLearn platform.
- Support capacity building for government counterparts by working closely with 1–3 identified champions from FME or other government departments, enabling them to shadow the development and testing process and strengthen their ability to manage and adapt AI tools beyond the scope of this engagement.
Performance and deliverables (Q2 – Q3 2025)
Key deliverables:
- Technical design note for the proposed AI-enabled solution, including a clear vision for the model’s architecture, training process (if applicable), data handling approach, and mentorship plan capturing how government champions will be supported during the engagement. This note is expected to be developed based on outcomes of a co-creation workshop with project stakeholders.
- Generative AI model prototype capable of producing improved metadata and resource descriptions for a defined sample of Ignite and/or Inspire content
- Iteration summary reports (could be brief reports or presentation decks) summarizing model refinements based on user feedback, including key insights from usability testing and resulting changes to the model.
- A short technical brief or input slide deck outlining factors influencing the cost of scaling the model across the full eLearn platform, including assumptions, resource requirements, and potential optimizations.
- A brief learning log or mentorship plan documenting how government champions were supported during the engagement, including hands-on learning opportunities and key areas of skill development.
- Final consolidated handover package including the final AI model (or model pipeline), documentation, and recommendations for next steps, designed for use by government partners and PLANE stakeholders to support scale-up
Review routine
- Attend weekly check-ins with the On Demand team to provide status updates and troubleshoot any challenges.
- Provide more frequent asynchronous updates via email as requested.
Specification(s)
The following are required qualifications, knowledge, experience and skills.
- Extensive experience in relevant programming languages, Learning Management Systems (LMS) development, and generative AI
- Experience conducting user testing and feedback research on LMS with a variety of stakeholders
- Experience with managing similar projects of at least 5 years
- Excellent analytical skills with the ability to synthesise complex data and information and write, edit and communicate key points clearly
- Fluency in English
- Ability to work as part of a team with a wide range of stakeholders both remotely and in-person in Nigeria. Nigeria-based consultants strongly preferred.
- Preferred experience working in the fields of education and education technology
Estimated timeline
This work will require up to 30 days between July and October.
Deadline and requirements for applications
Please send your CV, cover letter, and daily rate in GBP to opportunities@edtechhub.org.
Applications must be submitted by 24 July 2025 at 5:00PM (GMT).
