Math Curriculum Specialist
$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 Curriculum Specialist   $200,000 USD/year

Description

Many educational software platforms conflate engagement with actual learning. This produces materials that capture student attention momentarily but fail to consistently foster comprehension. Evidence from explicit instruction research and multimedia learning studies offers a more effective pathway: learners achieve better outcomes when instruction is organized, explicit, properly sequenced, and engineered to minimize extraneous cognitive load.

LearnWith.AI applies a more rigorous standard. Rather than viewing instructional video as simply a content delivery challenge, the organization frames it as a learning-outcomes challenge. This position ensures that each mathematics video upholds stringent criteria for direct instruction, pedagogical integrity, and learning science principles so that growth in scale never undermines student comprehension.

This position suits someone capable of reviewing a lesson and rapidly identifying whether the instructional sequence effectively supports learning. You must be able to pinpoint deficiencies in clarity, tempo, modeling techniques, formative checks, and conceptual progression, then convert that analysis into specific, written recommendations. This is not a generalized content oversight position, a creative production function, or a curriculum development role disconnected from evidence-informed teaching.

You will work near the center of product development by defining the benchmark for effective instruction across the entire video collection. If student mastery of mathematics matters deeply to you, and you seek to exercise that judgment at scale, this position offers uncommonly direct influence.

What you will be doing

  • Assess mathematics instructional videos using direct instruction frameworks and learning science standards, delivering clear go/no-go determinations, targeted feedback, and embedded observations that iteratively strengthen instructional quality benchmarks

What you will NOT be doing

  • General content oversight - evaluating non-instructional materials or non-video formats without grounding in learning science or direct instruction frameworks
  • Unstructured feedback - offering impressionistic comments on content without applying systematic evaluation standards

Key responsibilities

  • Serve as the quality gatekeeper for learning-science-aligned, high-fidelity direct instruction mathematics videos that reliably produce strong student learning outcomes

Candidate requirements

  • Background teaching K–8 mathematics or developing K–8 mathematics instructional materials (such as lesson plans, curriculum units, problem sets, or digital learning activities)
  • Track record evaluating video-based teaching content and delivering written feedback
  • Working knowledge of Cognitive Load Theory and Mayer's Multimedia Principles
  • Currently residing in the United States

Meet a successful candidate

Watch Interview
Chris Hayes
Chris  |  L2 Guide
United States

Ever wondered if work is enhancing your life, or erasing it? After years of late nights as a fitness coach left him exhausted and disconnect...

Meet Chris

Applying for a role? Here’s what to expect.

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.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

Frequently asked questions

About Crossover

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

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.

Crossover Logo White
Follow us on
Have a question?

Get answers to common questions using our smart chatbot Crosby.

HELP AND FAQs

Join the world's largest community of  AI first Remote WorkersAI-first remote workers.