Mathematics Instructional 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}  ($50 USD/hour)

• Analyze persistent deficits in math fluency, fact retention, speed, and precision by examining performance metrics, assessments, platform analytics, and student work samples.
• Determine root causes blocking automaticity, including weak instructional sequences, absent scaffolding, ineffective practice methods, inadequate feedback, flawed assessments, or unsuccessful interventions.
• Deploy LLMs, no-code automation, and agentic AI systems to redesign practice progressions, instructional content, scaffolding structures, and corrective interventions within Fast Math.
• Refine assessment items, answer rationales, distractor options, scoring rubrics, and evaluation instruments to reveal misconceptions and accurately gauge mastery.
• Validate all AI-generated or AI-revised materials for mathematical precision, developmental appropriateness, conceptual clarity, academic rigor, and adherence to Alpha's learning science framework.

• Creating repetitive drill sets without empirical confirmation that they enhance fluency or automaticity.
• Drafting standalone lesson plans that appear refined but fail to shift mastery metrics.
• Ending your work at diagnosis. You will identify the learning barrier, reconstruct the instructional materials, and verify the impact of your changes.
• Overseeing a traditional curriculum framework, performing administrative tasks, or navigating prolonged approval cycles.
• Developing educational technology platforms. Your remit is the mathematical learning experience, not software engineering or codebase maintenance.

Advance K-12 math fluency by iteratively refining Fast Math curriculum, practice structures, assessments, scaffolding supports, and corrective interventions until students achieve accurate and automatic calculation.

• 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, especially focused on building math fluency and fact mastery and building 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 improve educational work, such as LLMs, AI-assisted content generation, no-code workflows, coding/API-based tools, or agentic AI tools.
• Ability to use student learning data to identify barriers to fluency and improve curriculum, assessments, practice, scaffolding, or interventions.
• Excellent written communication skills, especially explaining mathematical concepts clearly and precisely.

• 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.