AI-Driven English/Language Arts Learning Strategist
$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 

Worldwide
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

AI-Driven English/Language Arts Learning Strategist   $100,000 USD/year

Description

Most ELA curriculum roles ask you to create lessons, prompts, and assessments. This one asks you to use AI and student learning data to continuously improve how students master reading, writing, vocabulary, language, and evidence-based reasoning.

At 2 Hour Learning, students use an AI-powered learning model built to help them move faster than traditional school allows. Your work will sit inside that system. You will diagnose where students are getting stuck, redesign the materials that caused the gap, and improve the assessments that reveal whether mastery is real. The goal is not polished curriculum artifacts. The goal is measurable growth on MAP, SAT, AP, and other ELA-relevant assessments.

This is hands-on academic design work. You will use LLMs, AI-assisted tools, no-code workflows, agentic AI tools, and student work evidence to rebuild reading tasks, writing supports, vocabulary instruction, scaffolds, interventions, rubrics, prompts, and content quality checks. You will see the reward in the data: students reading more deeply, writing more clearly, and mastering language faster.

If you want to use AI to make ELA learning measurably better, apply now.

What you will be doing

  • Diagnose recurring ELA learning gaps using student performance data, platform data, assessment results, writing samples, reading responses, and student work.
  • Use AI tools and agentic workflows to redesign reading tasks, writing supports, explanations, vocabulary instruction, grammar practice, scaffolds, and interventions.
  • Improve ELA assessments by refining questions, writing prompts, distractors, rubrics, exemplars, answer explanations, and supporting content.
  • Validate AI-generated or AI-modified materials for clarity, rigor, text alignment, grade-level fit, learning effectiveness, and alignment with Alpha's learning science standards.
  • Use student evidence from MAP, SAT, AP, platform results, and internal assessments to decide what content should be updated, replaced, or rebuilt.

What you will NOT be doing

  • Writing one-off worksheets, lesson plans, or test prep materials that are not tied to student learning evidence.
  • Running a traditional classroom, grading stacks of essays by hand, or managing school operations.
  • Building education software products. You will improve the learning experience, not manage a software roadmap.
  • Stopping at diagnosis. You will be expected to redesign the curriculum, scaffolds, assessments, and interventions that close the gaps you find.
  • Doing broad education strategy from a distance. This work is hands-on, subject-specific, and measured by student mastery.

Key responsibilities

Accelerate measurable ELA mastery by continuously improving reading, writing, language, assessment, scaffolding, and intervention materials based on 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.

Meet a successful candidate

Julia Smolkina
Julia  |   AI-Driven Learning Strategist
Indonesia

As a single mom navigating life in Georgia (the country), Julia needed more than just a remote job - she needed purpose and flexibility. Dis...

Read Julia's Story

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