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Remote Math Problem Solving Jobs in Jackson, MS (NOW HIRING)

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Remote Math Problem Solving information

See Jackson, MS salary details

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

As of Aug 20, 2026, the average hourly pay for remote math problem solving in Jackson, MS is $24.66, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $25.14 per hour, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Remote Math Problem Solving jobs in Jackson, MS?

For Remote Math Problem Solving jobs in Jackson, MS, the most frequently searched job titles are:

Senior Physics Domain Specialist - AI Rater

micro1 AI

Jackson, MS • Remote

$80 - $160/hr

Part-time

Posted 17 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.