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Remote Mathematical Modeling Jobs (NOW HIRING)

United States This position is not eligible for employer sponsorship. Applicants must be legally authorized to work and must not require employer sponsorship. Location: 20 E Thomas Rd, Phoenix,

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Remote Mathematical Modeling information

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$83.5K

$127K

$171K

How much do remote mathematical modeling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote mathematical modeling in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a remote mathematical modeler?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.
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Infographic showing various Remote Mathematical Modeling job openings in the United States as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Mathematician - Formalization & AI Foundations (Remote Contract)

Remote

$170 - $200/hr

Contractor

Re-posted 14 hours ago


Job description

Mathematician - Formalization & AI Foundations (Remote Contract)
About the Role
What if your deep knowledge of formal mathematics could directly shape how the most advanced AI systems in the world reason, prove, and think? We're looking for mathematicians with a passion for rigorous proof and formal systems to help build the mathematical foundations that frontier AI depends on.
This is a fully remote, flexible contract role working at the intersection of pure mathematics, logic, and cutting-edge AI research. Poland has one of the world's most celebrated mathematical traditions - rooted in logic, set theory, and foundations. If you know your way around Lean 4 and want to apply that tradition to frontier AI, this role is built for you.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Formalize advanced mathematical arguments and theorems in Lean 4, spanning a wide range of mathematical disciplines
  • Contribute to the growth and quality of large-scale formal mathematical libraries, including mathlib
  • Construct clean, readable, and well-structured formal proofs that translate informal mathematical reasoning into rigorous machine-checkable form
  • Audit and verify existing formal proofs for correctness, completeness, and logical integrity
  • Work at the frontier of AI research, helping train the next generation of mathematically capable language models

Who You Are
  • Hold a Master's degree or PhD in Mathematics or a closely related field
  • Possess a strong background in rigorous mathematical proof writing and logical reasoning
  • Have hands-on experience with formal proof assistants -
    Lean 4 strongly preferred
  • Can fluently translate informal mathematical ideas into structured, machine-verifiable formal proofs
  • Self-motivated and comfortable working independently in a remote, asynchronous environment

Nice to Have
  • Prior experience with proof verification, theorem proving, or mathematical formalization projects
  • Familiarity with mathlib or other large-scale formal mathematical libraries
  • Background in data annotation, data quality evaluation, or AI training workflows
  • Experience across multiple mathematical domains - topology, algebra, analysis, logic, and beyond

Why Join Us
  • Work on frontier AI research alongside the world's leading AI labs and research teams
  • Fully remote and flexible - structure your work around your life, not the other way around
  • Freelance autonomy with the intellectual depth of meaningful, high-stakes technical work
  • Contribute directly to formal mathematical libraries that will outlast any single project
  • Gain rare exposure to how cutting-edge large language models are built and trained
  • Potential for ongoing work and contract extension as new projects launch