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Remote Math Jobs in Richmond, CA (NOW HIRING)

We are a remote-first studio headquartered in San Francisco, California. Core Responsibilities ... You can build the math behind the game. You are an expert at creating complex, automated ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Strong background with data structures and algorithms (CS/Mathematics deg) NICE-TO-HAVES * 1+ year ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

... this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus ... ML, Mathematics, or closely related field with ML coursework (Mandatory) Why you should join

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

The Role We're looking for a senior software engineer with a strong mathematical and algorithmic ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

The Role We're looking for a senior software engineer with a strong mathematical and algorithmic ... Architected to support headless and remote. We may use artificial intelligence (AI) tools to ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Showing results 41-60

Remote Math information

See Richmond, CA salary details

$25.8K

$67.5K

$108.5K

How much do remote math jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote math in Richmond, CA is $67,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $80,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote math teacher, and why are they important?

To thrive as a Remote Math Teacher, you need a solid background in mathematics, a teaching credential or degree, and experience with curriculum planning. Familiarity with virtual classroom platforms (like Zoom or Google Classroom), online assessment tools, and digital whiteboards is typically required. Excellent communication, adaptability, and strong organizational skills help engage students and manage remote learning challenges. These skills and qualifications are crucial for delivering effective math instruction and maintaining student engagement in an online environment.

What are the qualifications to get a remote math job?

The qualifications that you need to get a remote math job include advanced knowledge of mathematics and a postsecondary degree in a relevant field. Remote math teachers need at least a bachelor’s degree in math or education to teach at the elementary or secondary school level. States may also require a teaching license. Community college math instructors must have at least a master’s degree, while university-level professors need a doctorate and advanced credentials to teach online math courses. Math tutors may have a college degree, or they may be studying math at the college or graduate level. Employers may test tutors without a degree before starting employment. Along with educational requirements, remote math jobs require strong communication, technical, and time management skills, as well as a reliable internet and phone connection.

What is the difference between Remote Math vs Remote Data Analyst?

AspectRemote MathRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, often independent or team-based projectsRemote, collaborative with data teams and stakeholders
Industry UsageEducation, research, finance, techBusiness, marketing, finance, healthcare
Common Search/ComparisonRemote MathRemote Data Analyst

Remote Math professionals focus on mathematical problem-solving, research, and theoretical work, often in academic or research settings. Remote Data Analysts interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles are remote and involve data, Remote Math emphasizes mathematical theory, whereas Remote Data Analysts focus on practical data insights for organizations.

How does a remote math educator effectively collaborate with students and colleagues in a virtual environment?

As a remote math educator, collaboration is primarily facilitated through digital platforms such as video conferencing, shared documents, and virtual whiteboards. Regular communication with students often involves scheduled online classes, one-on-one tutoring sessions, and prompt feedback on assignments. Collaborating with colleagues may include participating in virtual team meetings, co-developing lesson plans, and sharing teaching resources digitally. Building strong relationships and maintaining clear, consistent communication are key to overcoming the challenges of remote interaction and ensuring student engagement and success.

What are popular job titles related to Remote Math jobs in Richmond, CA?

For Remote Math jobs in Richmond, CA, the most frequently searched job titles are:

What cities near Richmond, CA are hiring for Remote Math jobs?

Cities near Richmond, CA with the most Remote Math job openings:

Infographic showing various Remote Math job openings in Richmond, CA as of August 2026, with employment types broken down into 67% Full Time, 25% Part Time, 1% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,526 per year, or $32.5 per hour.

Bayesian Statistics Expert - Problem Designer

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Re-posted 16 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.