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Ai Math Jobs (NOW HIRING)

Texas Sports Academy Main

AI Math Content Creator

$129K/yr

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 ...

Bank Street

Math and AI Coach-Facilitator

Manhattan, NY · On-site

$115K/yr

Position Vacancy - Math and AI Coach/Facilitator (Full-Time) Bank Street Education Center Bank Street College of Education 610 West 112th Street, New York NY 10025 To: The College Community From:

Tensordyne

Sr. ASIC EDA Workflow Engineer

Sunnyvale, CA · On-site

Tensordyne is a technology company involved in building AI math, chips, hardware, and software in order to make AI affordable and efficient. Founded in 2017, the company is headquartered in Sunnyvale ...

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

This role is for one of the Weekday's clients We are seeking experts with advanced training in Mathematics to contribute to a cutting-edge project in collaboration with a leading AI research group.

Outlier

Math Expertise for AI Training

Develop and answer Math-related questions to refine AI understanding * Evaluate and author complex reasoning traces to ensure models follow logical, step-by-step proofs * Assess and rank AI responses ...

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Ai Math information

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$22.5K

$58.8K

$94.5K

How much do ai math jobs pay per year?

As of Jun 25, 2026, the average yearly pay for ai math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

Will AI take mathematicians jobs?

AI mathematicians use artificial intelligence tools to assist with complex calculations, data analysis, and problem-solving. While AI can automate routine tasks, mathematicians' roles involving creativity, interpretation, and theoretical development remain essential and are unlikely to be fully replaced by AI.

Which 3 jobs will survive AI?

AI Math professionals, data scientists, and software engineers are likely to continue thriving as their roles involve complex problem-solving, creativity, and oversight of AI systems. These jobs require advanced analytical skills, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What are the key skills and qualifications needed to thrive as an AI Math Specialist, and why are they important?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

What is the highest paid math job?

The highest paid math-related job is often a quantitative analyst or financial mathematician, earning six-figure salaries or higher, especially in finance and investment banking. These roles typically require advanced degrees, strong programming skills, and expertise in statistical modeling and risk assessment.

Can I work in AI with a math degree?

Yes, a math degree provides a strong foundation for AI roles such as AI researcher, data scientist, or machine learning engineer. These positions often require knowledge of algorithms, statistics, programming languages like Python, and familiarity with AI frameworks such as TensorFlow or PyTorch.
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Ai Math jobs near you
Infographic showing various Ai Math job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

AI Math Content Creator

Texas Sports Academy Main

Remote

$129K/yr

Full-time

Posted 29 days ago

Job description

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.

Requirements
  • You are mathematically rigorous. Your problems are correct. Your solutions are correct. You catch the errors less careful writers miss: the sign flip, the domain restriction, the case left unchecked. Your math ships without needing a second pair of eyes to verify it.
  • You write problems that teach. You understand the difference between a problem that drills a procedure and a problem that builds understanding. You know when to ask for the answer, when to ask for the method, and when to ask the student to explain why.
  • You operate AI tools at a professional level. You have used AI models to generate, transform, and verify math content at volume. You know where they are reliable, where they break, and how to prompt and verify so the final output is correct.
  • Degree in mathematics or a closely related quantitative field. Bachelor's at minimum. Advanced degrees welcome.
  • Remote-ready setup. Stable internet, a focused workspace, and comfort working asynchronously across time zones.
  • Location. Fully remote and open to candidates worldwide. You are responsible for local tax and work authorization compliance.
Bonus Points
  • Classroom or Tutoring Experience: You have taught math in a classroom, as a tutor, or as a teaching assistant, and that experience shows in how you write problems and explanations.
  • Curriculum or Assessment Background: You have written for a textbook publisher, test prep company, edtech platform, or olympiad program, with samples available.
  • Competition Math Background: AMC, AIME, Putnam, or international olympiad participation as a student or coach.
  • LaTeX Fluency: You can produce properly typeset math without friction.

Multilingual Capability: Ability to produce content in more than one language is a plus, though all primary content is in English.

Apply