... Mathematics, Engineering, or a closely related quantitative/scientific field • Strong grasp of ... MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific ...
... Mathematics, Engineering, or a closely related quantitative/scientific field • Strong grasp of ... MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific ...
AI Video Generation Architect
Washington, DC · On-site +1
$170K - $200K/yr
Remote, Flexible (USA based) Salary: $170,000-$200,000 per year, plus benefits Who We Are: The ... templates, LaTeX/KaTeX mathematical typesetting, programmatic diagrams and charts, and text ...
AI Video Generation Architect
Washington, DC · On-site +1
$170K - $200K/yr
Remote, Flexible (USA based) Salary: $170,000-$200,000 per year, plus benefits Who We Are: The ... templates, LaTeX/KaTeX mathematical typesetting, programmatic diagrams and charts, and text ...
AI Video Generation Architect
Washington, DC · Remote
$170K - $200K/yr
Remote, Flexible (USA based) Salary: $170,000-$200,000 per year, plus benefits Who We Are: The ... templates, LaTeX/KaTeX mathematical typesetting, programmatic diagrams and charts, and text ...
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AI Video Generation Architect
Washington, DC · Remote
$170K - $200K/yr
Remote, Flexible (USA based) Salary: $170,000-$200,000 per year, plus benefits Who We Are: The ... templates, LaTeX/KaTeX mathematical typesetting, programmatic diagrams and charts, and text ...
Remote Latex Math information
See salary details
$22.5K - $29K
2% of jobs
$29K - $35.6K
9% of jobs
$35.6K - $42.1K
11% of jobs
$45K is the 25th percentile. Wages below this are outliers.
$42.1K - $48.7K
9% of jobs
$48.7K - $55.2K
13% of jobs
The median wage is $57.4K / yr.
$55.2K - $61.8K
22% of jobs
$67K is the 75th percentile. Wages above this are outliers.
$61.8K - $68.3K
13% of jobs
$68.3K - $74.9K
9% of jobs
$74.9K - $81.4K
6% of jobs
$81.4K - $88K
5% of jobs
$88K - $94.5K
2% of jobs
$22.5K
$58.8K
$94.5K
How much do remote latex math jobs pay per year?
As of Jul 17, 2026, the average yearly pay for remote latex math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.
What is a Remote LaTeX Math job?
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.
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.
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.
More about Remote Latex Math jobs
What cities are hiring for Remote Latex Math jobs? Cities with the most Remote Latex Math job openings:
What are the most commonly searched types of Latex Math jobs? The most popular types of Latex Math jobs are:
What states have the most Remote Latex Math jobs? States with the most job openings for Remote Latex Math jobs include:
What job categories do people searching Remote Latex Math jobs look for? The top searched job categories for Remote Latex Math jobs are:
Full-time
Posted 20 days ago
Job description
Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Physics Quality Assurance Lead to oversee quality and consistency in AI training projects, evaluating physics content and providing feedback to ensure accuracy and adherence to standards.
Responsibilities:
• Spot-check physics items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Review AI-generated physics explanations, calculations, diagrams, derivations, experimental interpretations, and step-by-step reasoning.
• Update trainers/QAs on Discord about guidelines, workflow updates, and physics-specific quality expectations.
• Respond to questions around physical assumptions, formulas, units, derivations, diagrams, experimental setups, and rubric interpretation.
• DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Create and maintain physics documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
• Run onboarding/training calls for physics contributors.
• Flag misleading, numerically incorrect, physically impossible, unsafe, or poorly contextualized physics claims.
• Identify recurring quality gaps and improve physics QA workflows.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Physics, Applied Physics, Engineering Physics, Astrophysics, Mathematics, Engineering, or a closely related quantitative/scientific field
• Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback
• 3+ years of experience in physics research, teaching, tutoring, laboratory work, science writing, academic review, engineering analysis, or related scientific workflows
• Strong understanding of classical mechanics, electromagnetism, waves, optics, thermodynamics, statistical mechanics, quantum mechanics, relativity, units, dimensional analysis, and mathematical modeling
• Ability to evaluate physics content against rubrics and identify issues such as incorrect assumptions, wrong formulas, unit errors, flawed reasoning, sign convention mistakes, physically impossible claims, or misleading explanations
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
• Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation
Preferred:
• Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods
• Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Physics Quality Assurance Lead to oversee quality and consistency in AI training projects, evaluating physics content and providing feedback to ensure accuracy and adherence to standards.
Responsibilities:
• Spot-check physics items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Review AI-generated physics explanations, calculations, diagrams, derivations, experimental interpretations, and step-by-step reasoning.
• Update trainers/QAs on Discord about guidelines, workflow updates, and physics-specific quality expectations.
• Respond to questions around physical assumptions, formulas, units, derivations, diagrams, experimental setups, and rubric interpretation.
• DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Create and maintain physics documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
• Run onboarding/training calls for physics contributors.
• Flag misleading, numerically incorrect, physically impossible, unsafe, or poorly contextualized physics claims.
• Identify recurring quality gaps and improve physics QA workflows.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Physics, Applied Physics, Engineering Physics, Astrophysics, Mathematics, Engineering, or a closely related quantitative/scientific field
• Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback
• 3+ years of experience in physics research, teaching, tutoring, laboratory work, science writing, academic review, engineering analysis, or related scientific workflows
• Strong understanding of classical mechanics, electromagnetism, waves, optics, thermodynamics, statistical mechanics, quantum mechanics, relativity, units, dimensional analysis, and mathematical modeling
• Ability to evaluate physics content against rubrics and identify issues such as incorrect assumptions, wrong formulas, unit errors, flawed reasoning, sign convention mistakes, physically impossible claims, or misleading explanations
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
• Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation
Preferred:
• Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods
• Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.