Learning Designer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Many ELA curriculum positions focus on creating lesson plans, assignments, and tests. 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.
If you are motivated to apply AI toward making ELA instruction demonstrably more effective, submit your application now.
What you will be doing
- 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, platform performance, and internal evaluations to determine which content requires updating, replacement, or complete reconstruction.
What you will NOT be doing
- Creating standalone worksheets, lesson plans, or test preparation resources disconnected from student learning data.
- Operating a traditional classroom, manually grading essay submissions, or overseeing school administrative functions.
- Developing education software products. Your focus will be on improving the learning experience, not steering a product development timeline.
- Limiting yourself to problem identification. You will be responsible for redesigning the curriculum, scaffolds, assessments, and interventions that address the gaps you uncover.
- Conducting high-level education strategy from a remove. This work is direct, discipline-specific, and evaluated by student achievement metrics.
Key responsibilities
Drive quantifiable ELA mastery gains by systematically refining reading, writing, language, assessment, scaffolding, and intervention content informed by student learning evidence.
Candidate requirements
- Bachelor's degree or higher in English, Literature, Linguistics, Writing, Reading Education, English Education, Instructional Design, Cognitive Science, or a closely related field.
- 3+ years of experience in ELA instruction, literacy curriculum development, assessment development, educational content creation, or learning design.
- Demonstrated K-12 ELA expertise, including the ability to evaluate reading comprehension, writing quality, language accuracy, text complexity, sequencing, and grade-level appropriateness.
- Practical knowledge of learning science or instructional design principles, such as mastery learning, direct instruction, scaffolding, cognitive load, and retrieval practice.
- Experience using AI tools to improve educational work, including LLMs, AI-assisted content generation, no-code workflows, agentic AI tools, or coding/API-based tools.
- Ability to use student learning data and student work to identify ELA gaps and improve curriculum, assessments, scaffolds, or interventions.
- Strong written communication skills, including the ability to explain complex ELA concepts clearly to non-specialists.
Nice to have
- Direct LLM API experience for content generation, data analysis, adaptive learning, or assessment improvement.
- Experience with edtech, adaptive learning platforms, literacy assessment, or AI-supported academic design.
- Experience building an online audience or public knowledge base around literacy, writing, education, or AI.
Applying for a role? Here’s what to expect.
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