Learning Scientist at ALX

Specific Responsibilities

Pedagogical Direction

• Guide the pedagogical decisions across the platform — input at design time, learning-efficacy judgment at eval time.
• Adapt and interpret the ALX learning framework so the platform is informed by real pedagogy rather than decorated with it.

Experimentation & Product Collaboration

• Design experiments against the platform’s core pedagogical assumptions, run with our experimentation function — for example, is the tutor guidance helping learners or crutching them?
• Assist in designing and evaluating the AI products alongside engineers, translating learning science into concrete product decisions.

Skill Requirements - Essential

• Learning science: solid grounding — you can cite and apply modern frameworks, not just intuitions from teaching.
• AI literacy: you understand what LLM-based tools can and can’t do, well enough to co-design them with engineers.
• Experiment design: hypotheses, measures, and enough methodological rigour to test learning claims honestly.
• Desirable (not required): prior EdTech product work; familiarity with competency frameworks or knowledge tracing; experience with African education contexts.

Essential Traits for Success

• Your instinct is to challenge the team’s assumptions, including the technical lead’s — that’s the job.
• You translate across disciplines without friction and enjoy being embedded in an engineering team.
• You can describe a pedagogical belief you changed your mind about, and the evidence that did it.