Math Curriculum 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)

• Identify recurring deficits in math fluency, fact retention, speed, and accuracy by analyzing performance data, assessments, platform metrics, and student work samples.
• Pinpoint obstacles to automaticity, including inadequate sequencing, absent scaffolds, ineffective practice patterns, feedback mechanisms, assessments, or interventions.
• Apply LLMs, no-code automation, and agentic AI systems to redesign practice progressions, explanations, scaffolds, and interventions within Fast Math.
• Refine questions, answer explanations, distractors, rubrics, and assessments to uncover misconceptions and measure mastery with precision.
• Review AI-generated or AI-modified materials to ensure mathematical accuracy, grade appropriateness, clarity, rigor, and alignment with Alpha's learning science framework.

• Creating repetitive drill sheets without confirming they enhance fluency or automaticity.
• Drafting standalone lesson plans that appear refined but fail to shift mastery metrics.
• Limiting yourself to analysis. You will locate the learning obstacle, reconstruct the material, and confirm whether the adjustment succeeded.
• Overseeing a conventional curriculum program, performing administrative tasks, or managing a lengthy review cycle.
• Developing education software products. Your emphasis is the mathematics learning experience, not application code.

Drive K-12 math fluency forward by continuously refining Fast Math curriculum, practice sequences, assessments, scaffolds, and interventions until students achieve accurate and automatic calculation.

• Bachelor's degree or higher in Mathematics, Statistics, Applied Math, Engineering, Physics, or a related quantitative discipline.
• 3+ years of experience in math instruction, math curriculum design, assessment creation, educational content production, or learning design, with particular focus on developing math fluency, fact mastery, and student automaticity in four-function arithmetic.
• Deep K-12 math content knowledge, including accuracy, rigor, sequencing, common misconceptions, fluency progression, and grade-level standards.
• Working knowledge of learning science or instructional design principles, such as mastery learning, direct instruction, scaffolding, cognitive load management, retrieval practice, or deliberate practice.
• Demonstrated experience using AI tools to enhance educational outcomes, including LLMs, AI-assisted content creation, no-code automation, coding/API-based solutions, or agentic AI platforms.
• Capability to analyze student learning data to uncover fluency barriers and refine curriculum, assessments, practice, scaffolding, or interventions.
• Strong written communication skills, particularly for explaining mathematical concepts with clarity and precision.

• Hands-on experience designing programs or interventions centered on arithmetic fluency, fact retention, or automaticity development.
• Familiarity with LLM APIs for content generation, data interpretation, or adaptive learning applications.
• Background in creating or refining math assessments that reveal misconceptions, not merely procedural correctness.
• Track record of publishing education, mathematics, or AI perspectives in online communities, such as Twitter/X, LinkedIn, or a public knowledge repository.