Educational Content Developer $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
Not accepting applications on crossover.com at this time.
Description
Most ELA curriculum positions focus on creating lessons, prompts, and assessments. This role centers on using AI and student learning data to drive continuous improvement in how students master reading, writing, vocabulary, language, and evidence-based reasoning.
At 2 Hour Learning, students engage with an AI-powered learning model designed to accelerate their progress beyond traditional school timelines. Your contributions will be integrated directly into that system. You will identify where students encounter obstacles, redesign materials that created learning gaps, and refine assessments that verify authentic mastery. The objective is not producing polished curriculum documents. The objective is delivering measurable growth on MAP, SAT, AP, and other ELA-relevant assessments.
This is applied academic design work. You will leverage LLMs, AI-assisted tools, no-code workflows, agentic AI tools, and evidence from student work to rebuild reading tasks, writing supports, vocabulary instruction, scaffolds, interventions, rubrics, prompts, and content quality checks. The results will appear in the data: students reading with greater depth, writing with improved clarity, and mastering language at accelerated rates.
If you are motivated to use AI to produce measurably better ELA learning outcomes, apply now.
What you will be doing
- Identify recurring ELA learning gaps by analyzing student performance data, platform metrics, assessment outcomes, writing samples, reading responses, and student work.
- Leverage AI tools and agentic workflows to redesign reading tasks, writing supports, explanations, vocabulary instruction, grammar practice, scaffolds, and interventions.
- Refine ELA assessments by improving questions, writing prompts, distractors, rubrics, exemplars, answer explanations, and supporting content.
- Review AI-generated or AI-modified materials to ensure clarity, rigor, text alignment, grade-level appropriateness, learning effectiveness, and alignment with Alpha's learning science standards.
- Apply student evidence from MAP, SAT, AP, platform results, and internal assessments to determine which content should be updated, replaced, or rebuilt.
What you will NOT be doing
- Creating one-off worksheets, lesson plans, or test prep materials disconnected from student learning evidence.
- Managing a traditional classroom, grading stacks of essays manually, or overseeing school operations.
- Developing education software products. You will enhance the learning experience, not oversee a software roadmap.
- Limiting your work to diagnosis. You will be responsible for redesigning the curriculum, scaffolds, assessments, and interventions that address the gaps you identify.
- Conducting broad education strategy remotely. This work is hands-on, subject-specific, and evaluated by student mastery.
Key responsibilities
Drive measurable ELA mastery by continuously improving 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.
- 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.
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