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Phd Math Jobs in California (NOW HIRING)

Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction ... PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field. * Strong ...

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Mathematics Teacher

San Mateo, CA · On-site

$53.50K - $70K/yr

... Upper School Math Teacher. The ideal candidate will bring both breadth and depth to their ... PhD in Mathematics or a closely related discipline. * Experience teaching in an independent school ...

Qualifications and Skills We are looking for teachers, subject matter experts (Masters Students, PhD Students, Engineers, etc) or soon-to-be teachers who can meet the following criteria: Energetic ...

Qualifications and Skills We are looking for teachers, subject matter experts (Masters Students, PhD Students, Engineers, etc) or soon-to-be teachers who can meet the following criteria: Energetic ...

Qualifications and Skills We are looking for teachers, subject matter experts (Masters Students, PhD Students, Engineers, etc) or soon-to-be teachers who can meet the following criteria: • ...

Physicist PhD 2

Loma Linda, CA · On-site

$111.88 - $150.47/hr

The physics team of medical professionals comprising four PhD physicists, three MS physicists, a ... Think critically; work independently with minimal supervision; perform basic math functions; manage ...

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Phd Math information

See California salary details

$8

$27

$38

How much do phd math jobs pay per hour?

As of May 30, 2026, the average hourly pay for phd math in California is $27.42, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $28.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD-level Mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.

What are PhD Math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. Candidates typically need a strong background in mathematics, programming skills, and security clearances. These positions may require a Ph.D. in mathematics or related fields and adherence to strict background checks and training protocols.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

What cities in California are hiring for Phd Math jobs? Cities in California with the most Phd Math job openings:
Infographic showing various Phd Math job openings in California as of May 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,041 per year, or $27.4 per hour.
Remote Mathematics Expert (PhD)

Remote Mathematics Expert (PhD)

Turing

San Francisco, CA • Remote

$100 - $200/hr

Contractor

Posted yesterday


Job description

Job Description:
Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required.

Role Overview:
Help fine-tune large language models (like ChatGPT) using your math and analytical skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:
  • Design advanced math problems to test AI performance (e.g., multi-step reasoning, abstraction, symbolic manipulation).
  • Develop clear, step-by-step solutions with rigorous logic.
  • Evaluate AI outputs for accuracy and quality of reasoning.
  • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level math topics.

Requirements:
  • PhD (pursuing or completed) in Mathematics, Applied Math, Statistics, or related field.
  • Strong mathematical reasoning and problem-solving skills across advanced domains.
  • Ability to communicate complex ideas clearly in writing and provide structured feedback.
  • No AI experience required

Perks:
  • Fully remote, flexible work.
  • Work on cutting-edge AI projects with leading LLM companies.

Offer Details:
Pay rate: $100+/hour (depends on role and candidate expertise)
Assessment: Shortlisted experts complete an evaluation before selection.
Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.