AI Math Content Creator
Role summary by JobGrid
AI Math Content Creator at Texas Sports Academy Main: Remote, Philippines. This listing is part of JobGrid's Remote AI jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, Philippines
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
We are hiring a senior math content creator who uses AI as a working partner to build, review, and refine the math content that powers our academic program. Think: a mathematician who can sit down with a topic such as systems of linear equations or quadratic functions and produce a clean, pedagogically sound set of original problems with worked solutions, in a fraction of the time it would take a traditional curriculum writer, and with the math verified correct.
We run a mastery-based academic model for serious student-athletes, and the integrity of the math content sits at the center of it. Every problem a student sees has to be mathematically correct, age-appropriate, and aligned to where the student is in the sequence. We build this library with AI in the workflow because it produces better coverage faster when an expert is steering it. We do not care how many years you spent inside a traditional curriculum house. We care about whether the math you produce is correct, the problems you write are well-designed, and you can operate AI tools fluently to do both at volume.
What You'll Do
- Author Original Problems: Write original math problems across K through 12, spanning arithmetic, pre-algebra, algebra I and II, geometry, and pre-calculus, with full worked solutions and answer keys.
- Audit Existing Content: Review problems already in our library for mathematical accuracy, clarity, difficulty calibration, and alignment to the intended learning objective. Correct what is wrong. Flag what needs a rewrite.
- Operate AI Tools: Use modern AI models to draft problems, generate variants, and stress-test solutions. Verify every output. The AI accelerates production; your mathematical judgment is what makes the work usable.
- Sequence for Mastery: Build problem sets where difficulty ramps deliberately, common misconceptions surface at the right moment, and a student who completes the set is measurably stronger on the concept.
- Maintain Notation Standards: Keep mathematical notation, formatting, and problem structure consistent across the library so the student experience is clean and predictable.
- Partner With the Academic Team: Take topic briefs and learning objectives from the academic lead and deliver classroom-ready content on a defined cadence.