Math Instructional Designer
$200,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

United States, US
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

Math Instructional Designer   $200,000 USD/year

Description

Many educational software platforms still mistake engagement for actual learning. The outcome is material that appears compelling in the moment yet fails to consistently foster comprehension. Evidence from explicit instruction research and multimedia learning studies offers a more defined path: learners perform better when instruction is organized, transparent, properly sequenced, and engineered to minimize extraneous cognitive load.

LearnWith.AI is adopting a more rigorous stance. Rather than framing instructional video as a content challenge, the team frames it as a learning-outcomes challenge. This position is designed to ensure every mathematics video satisfies a rigorous standard for direct instruction, robust pedagogy, and learning science so that scalability does not undermine student comprehension.

This position is intended for someone capable of reviewing a lesson and rapidly identifying whether the progression accomplishes genuine instructional work. You must be equipped to identify deficiencies in clarity, pacing, modeling, formative assessment, and conceptual development, then convert that analysis into specific written guidance. This is not a generalized content evaluation position, a creative production position, or an expansive curriculum position disconnected from evidence-based teaching.

You will operate in close proximity to the product's foundation by defining the benchmark for effective instruction throughout the library. If you possess strong conviction about whether students genuinely master mathematics, and you seek that judgment to shape work at scale, this position offers you exceptionally direct impact.

What you will be doing

  • Assess mathematics videos using direct instruction and learning science frameworks, delivering clear approval or rejection determinations, targeted feedback, and integrated insights that systematically strengthen instructional benchmarks

What you will NOT be doing

  • General content review - assessing non-instructional or non-video materials without employing learning science or direct instruction frameworks
  • Subjective feedback - offering imprecise judgments on content quality absent structured assessment standards

Key responsibilities

  • Serve as the quality arbiter for rigorous, learning-science-aligned direct instruction mathematics videos that reliably produce effective student learning outcomes

Candidate requirements

  • Experience teaching K–8 math or designing K–8 math instructional materials (e.g., lessons, units, practice sets, digital activities)
  • Experience evaluating video-based instructional content and providing written feedback
  • Familiarity with Cognitive Load Theory and Mayer's Multimedia Principles
  • Currently based in the United States

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Chris Hayes
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