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Remote Math Jobs in Sandy, UT (NOW HIRING)

Emphasizes mathematical reasoning and connects precalculus to real-world optimization, physics, and computer science applications. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

Adapts instruction using 3D graphing software, step-by-step parametrization guidance, and engineering-focused problems for STEM majors and advanced mathematics students. * Effective Teaching Methods:

Analyst I, Full Stack

Salt Lake City, UT · On-site +1

$102K - $142K/yr

Bachelor's or Master's degree in a quantitatively rigorous subject area (statistics, math, finance ... The majority of our roles are remote and you can work almost anywhere within the country of ...

Emphasizes recognizing when to apply specific techniques and connects advanced calculus to physics, engineering, and computational mathematics applications. * Curriculum Awareness & Adaptive ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Math information

See Sandy, UT salary details

$21.4K

$55.9K

$89.8K

How much do remote math jobs pay per year?

As of May 28, 2026, the average yearly pay for remote math in Sandy, UT is $55,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $66,500.00 per year, depending on experience, location, and employer.

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 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.

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 remote math jobs?

Remote math jobs are positions that allow professionals to work from home or any location outside of a traditional office, focusing on mathematics-related tasks. These roles can include teaching or tutoring math online, working as a data analyst, statistician, actuary, or even developing algorithms for tech companies. Remote math jobs often require strong analytical skills, proficiency in mathematical concepts, and the ability to use digital collaboration tools. They offer flexibility in terms of location and sometimes work hours, making them appealing to those seeking work-life balance. Opportunities are available in education, finance, technology, and research sectors.

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.

What job categories do people searching Remote Math jobs in Sandy, UT look for? The top searched job categories for Remote Math jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Remote Math jobs? Cities near Sandy, UT with the most Remote Math job openings:
Survey Statistician - AI Trainer

Survey Statistician - AI Trainer

DataAnnotation

Salt Lake City, UT • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr