Senior/Lead Education Specialist (Foundational Literacy & Numeracy) in AI for LMICs – Fab AI Global Remote Opportunity 2026

This is a high-impact recruitment opportunity for an experienced education specialist to join a mission-driven team working at the intersection of education, artificial intelligence, and global development. The role focuses on designing and leading pedagogical frameworks for AI evaluation systems that assess foundational literacy and numeracy (FLN) in low- and middle-income country (LMIC) contexts.

The organization is expanding its education team and is seeking either a Senior or Lead Education Specialist depending on experience. The successful candidate will play a central role in defining what high-quality learning looks like when AI systems are used to support early-grade reading and mathematics across diverse languages, scripts, and resource-constrained classrooms.

This position is ideal for professionals who have deep, practical experience in foundational education systems and want to influence how AI technologies are evaluated for real-world classroom impact.

About the Organization

Fab AI is a not-for-profit organization dedicated to improving educational outcomes for learners who are currently underserved by global education systems. With nearly a decade of experience and a multidisciplinary team spread across 14 countries, the organization brings together educators, economists, data scientists, designers, and software engineers.

The team operates across Europe and Sub-Saharan Africa and focuses exclusively on education innovation, particularly in low-resource and multilingual learning environments. Their mission is to ensure that emerging technologies, especially artificial intelligence, are designed and evaluated with strong pedagogical foundations.

Job Purpose and Core Focus

The primary purpose of this role is to lead the pedagogical design of AI benchmarks and evaluation frameworks for foundational literacy and numeracy in LMIC classrooms.

The role ensures that AI systems used in education are assessed based on robust educational principles rather than purely technical performance metrics.

Key focus areas include:

• Early-grade reading and mathematics instruction
• Multilingual and multicultural classroom environments
• Low-resource education systems
• Alignment between pedagogy and AI evaluation standards

Key Responsibilities

The selected candidate will contribute across multiple high-impact areas:

1. Pedagogical Design of AI Benchmarks

• Develop structured task taxonomies for AI evaluation in education
• Create assessment items and prompts aligned to early-grade curricula
• Design scoring rubrics that reflect real classroom learning outcomes
• Ensure benchmarks reflect diverse languages and writing systems

2. Expansion of Existing Evaluation Frameworks

• Extend current benchmarks covering pedagogy, SEND, visual mathematics, and African languages
• Strengthen foundational literacy and numeracy coverage within AI evaluation systems

3. Design of AI Evaluation Systems

• Build frameworks for evaluating both student-facing and teacher-facing AI tools
• Ensure evaluation methods reflect real educational challenges in LMIC classrooms

4. Classroom-Based Evidence Integration

• Participate in rapid-cycle evaluation studies in real-world school environments
• Translate classroom realities into measurable AI evaluation criteria

5. Stakeholder Collaboration

• Work closely with governments, education partners, developers, and teachers
• Support evidence synthesis to inform decision-making in education systems

Candidate Profile and Requirements

The ideal candidate will have extensive experience in foundational education systems, particularly in LMIC contexts.

Essential Requirements

Applicants must demonstrate:

• Experience developing teaching and learning materials from design through implementation and adaptation
• Strong background in foundational literacy and numeracy assessment tools such as EGRA, EGMA, ASER, or UWEZO
• Deep understanding of systematic phonics across languages and literacy progression models
• Experience in multilingual education systems and language transition strategies
• Expertise in early mathematics instruction and classroom-based numeracy approaches
• Ability to work across multiple projects in dynamic environments
• Strong collaboration skills within diverse international teams
• A problem-solving mindset and openness to continuous learning

Highly Desirable Experience

• Structured pedagogy and Teaching at the Right Level (TaRL) approaches
• Inclusive education design, including Universal Design for Learning (UDL)
• Experience in classrooms with limited resources, large student populations, or low teacher training capacity
• Curriculum design and alignment with government education systems

Additional Valuable Experience

• Writing decodable texts for early reading instruction
• Teacher professional development and coaching in LMIC settings
• Familiarity with AI-enabled educational technologies such as adaptive learning systems
• Cross-cultural collaboration in education and development contexts

Role Level and Compensation

This position is available at two levels:

Senior Level

• Salary range: £52,800 – £79,200

Lead Level

• Salary range: £67,200 – £100,800

Additional Geneva-based salary uplift may apply where relevant.

Location and Working Model

This is a remote-first role with global collaboration across Europe and Sub-Saharan Africa.

To ensure effective collaboration, candidates must be available during core working hours:

• 10:00 to 17:00 Central European Time

Applicants from any country are welcome, provided they can consistently overlap with these working hours.

Work authorization is required for candidates based in locations such as Geneva or London where applicable.

Expected Impact in First 6 Months

A successful candidate will be expected to:

• Lead the development of at least one new FLN AI benchmark with full taxonomy and rubric design
• Contribute to at least one real-world AI evaluation cycle in an LMIC classroom setting
• Establish strong working relationships with partners, government stakeholders, and technical teams

Application Process

Applicants are required to submit:

• A CV
• A short expression of interest
• Responses to application questions

Applications are reviewed on a rolling basis.

Click here for more and here to apply.

The final application deadline is 26 May 2026.

Early applications are encouraged as interviews may begin before the deadline.

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