A lot of education software still confuses attention with learning. The result is content that feels engaging in the moment but does not reliably build understanding. Research on explicit instruction and multimedia learning points in a clearer direction: students do better when teaching is structured, clear, well-sequenced, and designed to reduce unnecessary cognitive load.
LearnWith.AI is taking a stricter approach. Instead of treating instructional video as a content problem, the team treats it as a learning-outcomes problem. This role exists to make sure every math video meets a high bar for direct instruction, sound pedagogy, and learning science so that scale does not come at the expense of student understanding.
This job is for someone who can watch a lesson and quickly spot whether the sequence is doing real instructional work. You should be able to diagnose weaknesses in clarity, pacing, modeling, checks for understanding, and concept development, then turn that diagnosis into precise written feedback. This is not a general content review role, a creative production role, or a broad curriculum role untethered from evidence-based instruction.
You would sit close to the core of the product by shaping the standard for what good instruction looks like across the library. If you care deeply about whether students actually learn math, and you want that judgment to influence work at scale, this role gives you unusually direct leverage.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.






It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.