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Remote Latex Math Jobs in Santa Clara, CA (NOW HIRING)

Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

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Remote Latex Math information

See Santa Clara, CA salary details

$26.4K

$69.1K

$111K

How much do remote latex math jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote latex math in Santa Clara, CA is $69,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $82,200.00 per year, depending on experience, location, and employer.

What is a Remote LaTeX Math?

A Remote LaTeX Math job involves creating, editing, or formatting mathematical content, such as equations, formulas, and documents, using the LaTeX typesetting system. These jobs are performed remotely, meaning you can work from anywhere with an internet connection. Responsibilities may include preparing educational materials, academic papers, or technical documents for clients or organizations. Proficiency in LaTeX and a strong understanding of mathematics are typically required. Remote LaTeX Math professionals often collaborate with educators, researchers, or publishers.

How do Remote LaTeX Math professionals typically collaborate with team members and clients to ensure the accuracy of mathematical documentation?

Remote Latex Math professionals often work closely with subject matter experts, editors, and other team members through digital collaboration tools such as version control systems, shared cloud documents, and online communication platforms. Regular virtual meetings and feedback sessions are common to clarify complex equations or formatting requirements. Clear communication and thorough documentation are essential to address ambiguities and maintain the high standards expected in technical publications. This collaborative approach helps ensure that all mathematical content is accurate, well-formatted, and aligns with client or project specifications.

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

To excel as a Remote LaTeX Math Specialist, you need a strong background in mathematics and proficiency in LaTeX typesetting, typically demonstrated through formal education or substantial experience in math-related fields. Familiarity with LaTeX editors (such as Overleaf or TeXstudio), version control systems, and possibly collaboration tools like Git is important. Attention to detail, time management, and clear written communication are crucial soft skills for delivering accurate documents and collaborating remotely. These skills ensure the production of precise, high-quality mathematical content and efficient remote teamwork.

What are popular job titles related to Remote Latex Math jobs in Santa Clara, CA?

For Remote Latex Math jobs in Santa Clara, CA, the most frequently searched job titles are:

What cities near Santa Clara, CA are hiring for Remote Latex Math jobs?

Cities near Santa Clara, CA with the most Remote Latex Math job openings:

Physics Expert - Remote

YO AI Labs

Palo Alto, CA • Remote

$80 - $160/hr

Full-time

Posted yesterday

New


Job description

Job Title: Physics Expert – Professor / Principal Investigator

Role Type: Contractor
Location: Remote

Job Overview

We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions.

The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most.

Scope of Work
  • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise.
  • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions.
  • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments.
  • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research.
  • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals.
  • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate.
  • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations.
  • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.
Required Skills
  • Physics Mastery
  • Expert Judgment in Ambiguous Cases
  • Meta-Level Reasoning
  • Research Leadership
  • Defensible Written Articulation
  • Scientific Analysis
  • Technical Evaluation
  • Research Communication
  • Critical Thinking
Preferred Qualifications
  • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield.
  • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership.
  • Active or recent research experience in one or more of the following areas:
    • High Energy Physics
    • Mathematical Physics
    • Biophysics
    • Statistical Physics
    • Condensed Matter Physics
    • AMO / Quantum Optics
    • Gravitation
    • Cosmology
    • Astrophysics
    • Quantum Information
    • Optical Properties of Materials
  • 3–5 recent representative publications in the target research area, with arXiv or DOI references available.
  • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools.
  • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously.
  • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.