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Remote Math Research Assistant Jobs in Austin, TX

micro1 AI

Senior Scientific Reviewer - Physics

Austin, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

AI Training Specialist - Physics

Georgetown, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

AI Training Specialist - Physics

Austin, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

micro1 AI

AI Training Specialist - Physics

Round Rock, TX · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior ...

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All JobsMath Research JobsRemote Math Research Assistant JobsRemote Math Research Assistant Jobs in Austin, TX

Remote Math Research Assistant information

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How much do remote math research assistant jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote math research assistant in Austin, TX is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $22.88 per hour, depending on experience, location, and employer.

What is a remote math research assistant?

A Remote Math Research Assistant is someone who supports mathematics research projects while working from a location outside of a traditional office or laboratory. Their tasks typically include gathering and analyzing data, reviewing mathematical literature, writing reports, and assisting with the development of mathematical models or algorithms. They often collaborate with professors, researchers, or organizations through digital communication tools. This role requires strong mathematical knowledge, analytical skills, and the ability to work independently. Remote Math Research Assistants are valuable in both academic and industry settings, contributing to advancements in mathematical research.

How does a remote math research assistant typically collaborate with principal investigators and other team members given the remote nature of the position?

As a Remote Math Research Assistant, collaboration is often conducted through virtual meetings, shared documents, and project management platforms. You may regularly communicate with principal investigators via video calls, emails, or instant messaging to discuss research progress, clarify tasks, and receive feedback. Team members often share code, data, and mathematical proofs through cloud-based tools, ensuring everyone stays updated on each other's work. Despite working remotely, maintaining clear and proactive communication is essential for successful teamwork and timely project completion.

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

To thrive as a Remote Math Research Assistant, you need a strong background in mathematics or a related field, with experience in research methodologies and data analysis. Familiarity with mathematical software such as MATLAB, Mathematica, LaTeX, and collaboration tools like Zoom or Slack is typically expected. Excellent written communication, time management, and attention to detail are crucial soft skills for remote teamwork and effective documentation. These skills and tools enable efficient research, clear reporting, and seamless collaboration in a virtual environment.

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

AspectRemote Math Research AssistantRemote Data Analyst
Required CredentialsMath degree or related certification, research experienceStatistics, data analysis, or related degree, analytical skills
Work EnvironmentAcademic, research institutions, or industry research teamsBusiness, tech companies, or consulting firms
Employer & Industry UsageUniversities, research labs, R&D departmentsCorporations, marketing firms, finance, tech
Common Search & ComparisonYesYes

The Remote Math Research Assistant typically focuses on mathematical research, theory development, and academic projects, often within educational or research institutions. In contrast, a Remote Data Analyst emphasizes analyzing data sets, generating insights, and supporting business decisions. While both roles require analytical skills and may involve similar tools, their primary focus and work environments differ significantly.

What are popular job titles related to Remote Math Research Assistant jobs in Austin, TX?

For Remote Math Research Assistant jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Math Research Assistant jobs in Austin, TX look for?

The top searched job categories for Remote Math Research Assistant jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Math Research Assistant jobs?

Cities near Austin, TX with the most Remote Math Research Assistant job openings:

Remote Math Research Assistant jobs near you
Infographic showing various Remote Math Research Assistant job openings in Austin, TX as of July 2026, with employment types broken down into 4% Internship, 46% Full Time, 37% Part Time, 4% Temporary, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,846 per year, or $19.2 per hour.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Round Rock, TX • Remote

$80 - $160/hr

Part-time

Posted 16 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.

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