Math Teacher Jobs

Math teacher jobs on Rex.zone connect classroom teaching with modern AI/ML content workflows. As a Math Teacher (entity: educator specializing in mathematics), you’ll design lessons, author problem sets, and validate solutions while contributing to training data quality used by math-tutor LLMs. Our intent is both informational (role, skills, workflows) and transactional (apply now), anchored to Rex.zone for navigational clarity. Many openings integrate RLHF, data labeling, QA evaluation, prompt evaluation, and large language model evaluation, ensuring annotation guidelines compliance and model performance improvement. Whether remote, contract, freelance, or full-time, Rex.zone aggregates opportunities across schools, AI labs, tech startups, BPOs, and annotation vendors.

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About the Role

Teach Algebra, Geometry, Calculus, Statistics, and foundational numeracy while creating rigorous assessments and step-by-step solutions. In AI-integrated roles, you’ll craft math problems, verify reasoning, and curate datasets for LLM training pipelines, helping improve math tutoring systems. Positions span K-12, college prep, adult learning, and online academies, with options to contribute to educational content used in intelligent tutoring and evaluation.

Key Responsibilities

Plan lessons and instructional materials; author graded problem sets; provide clear rubrics and chain-of-thought exemplars; ensure training data quality; follow annotation guidelines compliance; conduct QA evaluation and prompt evaluation for math queries; perform large language model evaluation of math outputs; review mislabeled items; support model performance improvement; uphold content safety labeling standards; participate in parent/learner communications and continuous improvement cycles.

Required Skills

Strong mathematics expertise (algebra through calculus/statistics), pedagogy and classroom management, assessment design, clear written communication, LaTeX or equation editors, familiarity with data labeling tools, rubric creation for step-by-step reasoning, ability to spot mathematical errors and edge cases, comfort with NLP/LLM concepts, optional Python for demonstrations, and basic computer vision annotation for handwritten math scans.

Work Modes & Job Modifiers

Openings include remote, onsite, hybrid; contract, freelance, full-time, part-time; entry-level, mid-level, senior, lead. Many roles align with NLP, computer vision, content safety, and LLM training domains. Browse, compare, and apply to roles that match your availability and seniority directly through Rex.zone.

Employers & Domains

Schools, online academies, AI labs, tech startups, BPOs, and annotation vendors hire math teachers for teaching and data workflows. Domain focus may include K-12 curriculum, test prep (SAT, ACT, AP), adult education, STEM bootcamps, and AI content creation for math tutoring assistants and automated grading systems.

Compensation & Benefits

Compensation varies by employer and region, typically competitive with education sector norms and AI content roles. Packages may include salary or hourly rates, performance bonuses, health benefits, professional development budgets, and stipends for materials or tooling. Freelance and contract roles offer flexible, project-based pay.

Hiring Workflow

Expect an application review, teaching demo or recorded lesson, mathematics skills assessment, sample problem authoring with solution validation, a short data labeling or QA evaluation task, and a final interview. Some employers include content safety checks or background screenings for student-facing roles.

Tools & Tech

Common tools: LMS platforms, Google Classroom, LaTeX, Desmos, GeoGebra, Jupyter notebooks for demonstrations, rubric and annotation dashboards, versioning tools, and analytics to track learner progress and dataset quality. Experience with prompt libraries and evaluation frameworks is a plus.

Apply Now

Explore math teacher jobs and AI-integrated teaching opportunities on Rex.zone. Create a profile, upload credentials, indicate remote or onsite preferences, and apply to matched roles. Rex.zone centralizes applications, interview scheduling, and employer communication to streamline your job search.

Frequently Asked Questions

  • Q: What is a math teacher job in the context of Rex.zone?

    It’s an educator role focused on mathematics instruction and content creation. Many listings also involve AI/ML workflows like RLHF, data labeling, QA evaluation, and prompt evaluation to improve math-tutor LLMs and educational platforms.

  • Q: Are remote math teacher jobs available?

    Yes. Rex.zone hosts remote, hybrid, and onsite roles across schools, online academies, AI labs, tech startups, BPOs, and annotation vendors.

  • Q: Do I need prior experience with LLMs or data labeling?

    Not always. Entry-level roles focus on teaching fundamentals and problem authoring. Roles tied to LLM training pipelines prefer familiarity with annotation guidelines, training data quality, and large language model evaluation.

  • Q: What qualifications are typically required?

    Common requirements include a degree in mathematics or education, teaching certifications where applicable, and proven ability to design assessments. For AI-integrated roles, experience in rubric design, QA evaluation, and prompt evaluation is helpful.

  • Q: How do these roles improve model performance?

    Teachers author high-quality problems, verify solutions, and enforce annotation guidelines compliance. This elevates training data quality, enabling model performance improvement for math reasoning and tutoring systems.

  • Q: Can I apply for contract or freelance positions?

    Yes. Rex.zone lists contract, freelance, and full-time roles. You can filter by work mode and seniority, including entry-level and senior positions.

  • Q: Do employers provide visa sponsorship?

    Some do, depending on location and policy. Check each posting on Rex.zone for sponsorship details and eligibility.

  • Q: What is Rex.zone?

    Rex.zone is a platform that aggregates education and AI-related jobs, streamlining discovery, application, and communication with employers, while offering roles that span traditional teaching and LLM training pipelines.

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