ZipRecruiter

Log In

2

Remote Math Problem Solving Jobs in San Francisco, CA

Turing

Remote Mathematics Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Remote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge ... Math, Statistics, or related field. * Strong mathematical reasoning and problem-solving skills ...

New

Turing

Remote Physics Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge ... Strong physics reasoning and problem-solving skills across advanced domains. * Ability to ...

New

ForgeFit

Remote Customer Service Specialist

Oakland, CA · On-site +1

$19.50 - $25.75/hr

Remote (U.S. Based) Employment Type: Full-Time About ForgeFit At ForgeFit, we supply premium ... Strong communication and problem-solving skills * Ability to stay organized and manage multiple ...

next page

Showing results 1-20

People also search for

All JobsRemote Math Problem Solving JobsRemote Math Problem Solving Jobs in San Francisco, CA

Remote Math Problem Solving information

See San Francisco, CA salary details

$13

$33

$52

How much do remote math problem solving jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote math problem solving in San Francisco, CA is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $33.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Math Problem Solver, and why are they important?

To thrive as a Remote Math Problem Solver, you need a strong background in mathematics, analytical reasoning, and problem-solving, typically supported by at least a bachelor's degree in math or a related field. Familiarity with mathematical software such as MATLAB, Wolfram Alpha, or online collaboration platforms is often required. Exceptional communication, attention to detail, and self-motivation are crucial soft skills for explaining solutions and working independently. These abilities ensure accurate, timely solutions and clear client communication in a remote setting.

How do remote math problem solvers typically collaborate with team members and clients despite working remotely?

Remote math problem solvers often use digital collaboration tools such as video conferencing, shared documents, and project management platforms to communicate and work with colleagues or clients. Regular virtual meetings help clarify problem requirements, discuss solution approaches, and review progress. Clear written communication and timely updates are essential, as team members may be in different time zones or working asynchronously. Building strong virtual relationships and practicing effective documentation are key to successful remote teamwork in this role.

What is a Remote Math Problem Solver?

A Remote Math Problem Solver is a professional who assists students or clients in understanding and solving math problems through online platforms. These individuals use virtual tools and communication technologies to provide step-by-step problem-solving help, explanations, and tutoring. They may work independently or for tutoring companies, helping with subjects ranging from basic arithmetic to advanced mathematics. This role requires strong mathematical knowledge, communication skills, and the ability to work effectively without in-person interaction.

What is the difference between Remote Math Problem Solving vs Remote Data Analysis?

AspectRemote Math Problem SolvingRemote Data Analysis
Required CredentialsMathematics degree or related certificationsStatistics, Data Science, or related certifications
Work EnvironmentIndependent problem-solving, research-basedData interpretation, reporting, and visualization
Industry UsageEducation, research, consultingBusiness, finance, tech companies

Remote Math Problem Solving focuses on solving complex mathematical problems, often in research or academic contexts, requiring strong analytical skills. Remote Data Analysis involves interpreting data sets to inform business decisions, emphasizing statistical and technical skills. While both roles require quantitative expertise, Math Problem Solving is more theoretical, whereas Data Analysis is application-oriented.

What are the most commonly searched types of Math Problem Solving jobs in San Francisco, CA? The most popular types of Math Problem Solving jobs in San Francisco, CA are:
What are popular job titles related to Remote Math Problem Solving jobs in San Francisco, CA? For Remote Math Problem Solving jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Remote Math Problem Solving jobs in San Francisco, CA look for? The top searched job categories for Remote Math Problem Solving jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Remote Math Problem Solving jobs? Cities near San Francisco, CA with the most Remote Math Problem Solving job openings:
Remote Math Problem Solving jobs near you
Remote Mathematics Expert (PhD)

Remote Mathematics Expert (PhD)

Turing

San Francisco, CA • Remote

$100 - $200/hr

Contractor

Posted 19 hours ago

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.