Many educational software products mistake engagement for genuine learning. The outcome is material that appears stimulating at first glance but fails to consistently foster comprehension. Evidence from research on explicit instruction and multimedia learning offers a more defined path: learners benefit when instruction is organized, transparent, properly sequenced, and constructed to minimize extraneous cognitive load. LearnWith.AI has adopted a more rigorous stance. Rather than viewing instructional video as merely a content challenge, the organization approaches it as a matter of measurable learning outcomes. This position has been created to ensure that each math video satisfies demanding standards for direct instruction, robust pedagogy, and learning science, preventing scale from undermining student comprehension. This position requires someone capable of reviewing a lesson and rapidly identifying whether its structure accomplishes genuine instructional objectives. You must be equipped to detect shortcomings in clarity, tempo, demonstration, formative assessment, and conceptual progression, then convert those observations into detailed written guidance. This is neither a general content evaluation position, nor a creative media role, nor a curriculum position disconnected from research-validated instruction. You will operate at the heart of the product by establishing the benchmark for effective instruction throughout the entire library. If you hold strong convictions about actual student learning in mathematics and seek to apply that judgment to work at meaningful scale, this position offers uncommonly direct influence. What You Will Be Doing

• Review math videos using direct instruction and learning science frameworks, delivering definitive approval or rejection judgments, specific actionable feedback, and embedded observations that systematically strengthen instructional quality standards

What You Won’t Be Doing

• General content evaluation - assessing non-instructional materials or non-video formats without employing learning science or direct instruction frameworks
• Unstructured feedback - delivering impressionistic commentary on content quality in the absence of defined evaluation standards

Math Content Reviewer Key Responsibilities

• Serve as the quality arbiter for learning-science-grounded direct instruction math videos that reliably produce strong student learning outcomes

Basic Requirements

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

About LearnWith.AI LearnWith.AI is an edtech startup that leverages AI and subject matter experts to cultivate a new way of learning. Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and AI-powered coaching. In doing so, we can help students learn more, learn faster, and learn better - and have fun while doing it. We are a remote-first company that hires globally via Crossover. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. 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 $100 USD/hour, which equates to $200,000 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-5803-US-Orlando-MathContentRev