Curriculum 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
Most ELA curriculum positions involve creating lessons, prompts, and assessments. This role requires you to leverage AI and student learning data to continually refine how students achieve mastery in reading, writing, vocabulary, language, and evidence-based reasoning.
Students at 2 Hour Learning interact with an AI-powered learning model designed to accelerate their progress beyond what traditional schooling permits. Your contributions will integrate directly into that system. You will identify where students encounter obstacles, revise the materials that created those gaps, and enhance the assessments that verify authentic mastery. The objective is not producing polished curriculum documents. The objective is delivering measurable improvement on MAP, SAT, AP, and other ELA-aligned assessments.
This is applied academic design work. You will employ LLMs, AI-enabled tools, no-code workflows, agentic AI systems, and student work evidence to reconstruct reading assignments, writing supports, vocabulary lessons, scaffolds, interventions, rubrics, prompts, and content quality reviews. The reward will appear in the data: students reading with greater depth, writing with increased clarity, and mastering language at an accelerated pace.
If you are ready to use AI to produce measurably better ELA learning outcomes, apply now.
What you will be doing
- Identify persistent ELA learning gaps by analyzing student performance data, platform analytics, assessment outcomes, writing samples, reading responses, and student work.
- Leverage AI tools and agentic workflows to redesign reading assignments, writing supports, explanations, vocabulary lessons, grammar exercises, scaffolds, and interventions.
- Refine ELA assessments by improving questions, writing prompts, distractors, rubrics, exemplars, answer explanations, and related content.
- Validate AI-generated or AI-revised materials for clarity, rigor, text alignment, grade-level appropriateness, learning effectiveness, and adherence to Alpha's learning science standards.
- Apply student evidence from MAP, SAT, AP, platform data, and internal assessments to determine which content requires updating, replacement, or complete reconstruction.
What you will NOT be doing
- Creating standalone worksheets, lesson plans, or test prep resources that lack connection to student learning evidence.
- Teaching in a traditional classroom, manually grading essay stacks, or overseeing school operations.
- Developing education software products. You will refine the learning experience, not oversee a software roadmap.
- Limiting yourself to diagnosis. You will be expected to redesign the curriculum, scaffolds, assessments, and interventions that eliminate the gaps you identify.
- Performing broad education strategy from a distance. This work is hands-on, subject-focused, and evaluated by student mastery.
Key responsibilities
Drive measurable ELA mastery gains by continuously refining reading, writing, language, assessment, scaffolding, and intervention materials 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.
- Proven K-12 ELA expertise, including the capacity to assess reading comprehension, writing quality, language accuracy, text complexity, sequencing, and grade-level appropriateness.
- Working knowledge of learning science or instructional design principles, such as mastery learning, direct instruction, scaffolding, cognitive load, and retrieval practice.
- Experience applying AI tools to enhance educational work, including LLMs, AI-assisted content generation, no-code workflows, agentic AI tools, or coding/API-based tools.
- Capability to analyze student learning data and student work to pinpoint ELA gaps and refine curriculum, assessments, scaffolds, or interventions.
- Strong written communication skills, including the capacity 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.
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