Learning Designer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78ezj8

This role centers on leveraging AI and student performance data to systematically refine how learners achieve mastery in reading, writing, vocabulary, language, and evidence-based reasoning.
At 2 Hour Learning, students engage with an AI-driven learning model designed to accelerate progress beyond what conventional schooling permits. Your contributions will be embedded within this system. You will identify points where students struggle, revise the instructional materials that created those obstacles, and enhance the assessments that confirm genuine mastery. The objective is not producing polished curriculum documents. The objective is driving quantifiable improvement on MAP, SAT, AP, and other ELA-focused standardized measures.
This is applied academic design. You will employ LLMs, AI-enhanced tools, no-code automation, agentic AI systems, and artifacts of student work to rebuild reading exercises, writing frameworks, vocabulary sequences, scaffolding structures, interventions, rubrics, prompts, and content validation processes. The results will appear in the metrics:



students comprehending texts more thoroughly, composing with greater precision, and acquiring language skills more rapidly.
Identify persistent ELA learning obstacles through analysis of student performance data, platform analytics, assessment outcomes, writing samples, reading responses, and completed assignments.
Deploy AI tools and agentic workflows to redesign reading exercises, writing frameworks, explanations, vocabulary sequences, grammar drills, scaffolding, and targeted interventions.
Refine ELA assessments by revising question stems, writing prompts, incorrect answer options, rubrics, model responses, answer rationales, and supplementary materials.
Review AI-generated or AI-modified content for clarity, academic rigor, alignment with source texts, grade-appropriateness, instructional effectiveness, and consistency with Alpha’s learning science framework.
Apply evidence from MAP, SAT, AP, pla

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78ezj8