Mathematics Instructional Designer, 2 Hour Learning (Remote) - $100,000/year USD

Crossover; Deutschland; Hybrid; EUR 78.000 - 95.000; Vollzeit

Zusammenfassung

Crossover in New York, USA, seeks a Mathematics Instructional Designer to pinpoint barriers to fluency and reconstruct practice sequences using AI, AI-assisted content generation, no-code workflows, and agentic AI tools. You will analyze performance data, assessments, and student work to uncover root causes and design targeted interventions.

This full-time contractor role requires 3+ years in math instruction, a quantitative degree, and strong communication.

Qualifikationen

• Bachelor's degree or higher in a quantitative field.
• 3+ years of experience in math instruction or math curriculum development.
• Strong K-12 math subject expertise, including fluency development and misconceptions.
• Practical knowledge of learning science or instructional design principles.
• Experience using AI tools to enhance educational work.
• Ability to analyze student learning data and surface fluency barriers.

Aufgaben

• Identify recurring gaps in math fluency, fact mastery, speed, and accuracy by analyzing performance data, assessments, platform metrics, and student work.
• Determine what blocks automaticity, such as weak sequencing, missing scaffolds, ineffective practice, inadequate feedback, flawed assessments, or unsuccessful interventions.
• Apply LLMs, no-code workflows, and agentic AI tools to redesign practice sequences, explanations, scaffolds, and interventions.
• Refine questions, answer explanations, distractors, rubrics, and assessments to surface misconceptions and measure mastery with precision.
• Review AI-generated or AI-modified materials to ensure mathematical accuracy, appropriate grade level, clarity, rigor, and alignment with standards.

Kenntnisse

Mathematics instruction

Data analysis

Clear written communication

AI/tool use in education

Ausbildung

Bachelor's degree or higher in Math/Stats/Applied Math/Engineering/Physics

Tools

LLMs

AI-assisted content generation

no-code workflows

coding/API-based tools

agentic AI tools

Jobbeschreibung

Fast Math does not rely on repetition through endless worksheets to make students faster. Your role is to pinpoint the precise barriers preventing students from achieving math fluency, then leverage AI to reconstruct the learning experience so that accurate calculation becomes second nature.

2 Hour Learning enables students to master core academics in far less time than a traditional school day. You will concentrate on our Fast Math program, analyzing student performance data, platform metrics, assessment outcomes, and student work to uncover what is obstructing fluency and fact mastery. The issue could be inadequate sequencing, an incorrect practice pattern, a missing scaffold, insufficient feedback, or an intervention that does not address the root misconception.

This role involves direct, hands-on work. You will apply LLMs, AI-assisted content generation, no-code workflows, and agentic AI tools to refine practice sequences, explanations, assessments, scaffolds, and interventions. Success is defined by students transitioning from effortful calculation to fast, accurate, and automatic performance. If you are ready to use AI daily to produce measurable improvements in mathematical fluency.

What You Will Be Doing

• Identify recurring gaps in math fluency, fact mastery, speed, and accuracy by analyzing performance data, assessments, platform metrics, and student work.
• Determine what is blocking automaticity, whether it is weak sequencing, missing scaffolds, ineffective practice, inadequate feedback, flawed assessments, or unsuccessful interventions.
• Apply LLMs, no-code workflows, and agentic AI tools to redesign practice sequences, explanations, scaffolds, and interventions within Fast Math.
• Refine questions, answer explanations, distractors, rubrics, and assessments to surface misconceptions and measure mastery with precision.
• Review AI-generated or AI-modified materials to ensure mathematical accuracy, appropriate grade level, clarity, rigor, and alignment with Alpha's learning science standards.

What You Won't Be Doing

• Creating repetitive drill exercises without verifiable evidence that they enhance fluency or automaticity.
• Developing one-off lesson plans that appear polished but fail to shift mastery data.
• Halting at analysis. You will locate the learning gap, reconstruct the material, and assess whether the revision succeeded.
• Overseeing a traditional curriculum program, performing administrative tasks, or managing a protracted review cycle.
• Developing education software products. Your focus is the math learning experience, not the application codebase.

Mathematics Instructional Designer Key Responsibilities

Accelerate K-12 math fluency through continuous improvement of Fast Math curriculum, practice, assessments, scaffolds, and interventions, driving students toward accurate and automatic calculation.

Basic Requirements

• Bachelor's degree or higher in Mathematics, Statistics, Applied Math, Engineering, Physics, or another quantitative field.
• 3+ years of experience in math instruction, math curriculum development, assessment development, educational content creation, or learning design, with particular emphasis on building math fluency and fact mastery and guiding students toward automaticity in four-function math.
• Strong K-12 math subject expertise, including accuracy, rigor, sequencing, misconceptions, fluency development, and grade-level expectations.
• Practical knowledge of learning science or instructional design, such as mastery learning, direct instruction, scaffolding, cognitive load, retrieval practice, or deliberate practice.
• Experience using AI tools to enhance educational work, such as LLMs, AI-assisted content generation, no-code workflows, coding/API-based tools, or agentic AI tools.
• Ability to analyze student learning data to identify fluency barriers and improve curriculum, assessments, practice, scaffolding, or interventions.
• Excellent written communication skills, particularly in explaining mathematical concepts with clarity and precision.

Nice-to-have Requirements

• Direct experience designing programs or interventions focused on arithmetic fluency, fact mastery, or automaticity.
• Experience with LLM APIs for content generation, data analysis, or adaptive learning work.
• Experience building or improving math assessments that surface misconceptions, not just procedural accuracy.
• Experience sharing education, math, or AI insights in an online community, such as Twitter/X, LinkedIn, or a public knowledge base.

About 2 Hour Learning

Education is broken, but 2 Hour Learning is proving it doesn't have to be. They're tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day.

With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they're proving that smarter learning is possible. At 2 Hour Learning, it's talent and performance that matter. They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system.

2 Hour Learning is reprogramming learning for the AI era. Here's How They're Fixing It. There is so much to cover for this exciting role, and space here is limited. We look forward to meeting you!

Working with us

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

Crossover Job Code: LJ-5844-US-NewYork-MathematicsIns