Learning Experience 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 

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

Learning Experience Designer   $100,000 USD/year

Description

Most ELA curriculum positions focus on building lessons, prompts, and tests. This role centers on leveraging AI and student performance data to systematically enhance how learners achieve mastery in reading, writing, vocabulary, language, and evidence-based reasoning.

At 2 Hour Learning, learners engage with an AI-driven learning model designed to enable faster progress than conventional schooling permits. Your contributions will be integrated directly into that system. You will identify points where students struggle, revise the materials responsible for those challenges, and refine the assessments that determine whether true mastery has been achieved. The objective is not producing polished curriculum documents. The objective is delivering measurable improvement on MAP, SAT, AP, and other ELA assessments.

This is applied academic design work. You will employ LLMs, AI-enabled tools, no-code workflows, agentic AI systems, and evidence from student work to reconstruct reading activities, writing supports, vocabulary lessons, scaffolds, interventions, rubrics, prompts, and quality controls. You will observe the impact in the data: students engaging more deeply with texts, writing with greater clarity, and mastering language concepts more rapidly.

If you are prepared to apply AI to make ELA learning demonstrably stronger, apply now.

What you will be doing

  • Identify recurring ELA learning gaps through analysis of student performance data, platform analytics, assessment outcomes, writing samples, reading responses, and student work artifacts.
  • Leverage AI tools and agentic workflows to redesign reading activities, writing supports, instructional explanations, vocabulary lessons, grammar exercises, scaffolds, and targeted interventions.
  • Enhance ELA assessments by refining question design, writing prompts, distractors, rubrics, exemplars, answer explanations, and related instructional content.
  • Review AI-generated or AI-modified materials to ensure clarity, rigor, text alignment, grade-level appropriateness, learning effectiveness, and conformity with Alpha's learning science standards.
  • Draw on student evidence from MAP, SAT, AP, platform performance, and internal assessments to determine which content requires updating, replacement, or complete redesign.

What you will NOT be doing

  • Creating one-off worksheets, lesson plans, or test prep resources that are not grounded in student learning evidence.
  • Operating a traditional classroom, manually grading large volumes of essays, or handling school administrative tasks.
  • Developing education software products. You will refine the learning experience, not oversee a software development roadmap.
  • Limiting your role to diagnosis. You will be expected to redesign curriculum, scaffolds, assessments, and interventions that address the gaps you identify.
  • Engaging in high-level education strategy from a distance. This work is hands-on, discipline-specific, and evaluated through student mastery outcomes.

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.
  • 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.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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The Olympics of work

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