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Remote Math Problem Solving Jobs in Springfield, IL

DataAnnotation

Quantitative Strategist

Springfield, IL · On-site +1

$60/hr

... solving technical problems, and providing feedback that directly shapes how these systems reason ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Economist - AI Trainer

Springfield, IL · On-site +1

$60/hr

... solving technical problems, and providing feedback that directly shapes how these systems reason ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

DataAnnotation

Physicist - AI Trainer

Springfield, IL · On-site +1

$60/hr

... solving technical problems, and providing feedback that directly shapes how these systems reason ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Owens Corning

Sr Area Sales Manager

Springfield, IL · Remote

$79K - $100K/yr

Strong communication, organizational, and problem-solving skills. The base salary range for this ... REMOTE About Owens Corning Owens Corning is a branded building products leader with three ...

DataAnnotation

Data Science Consultant

Springfield, IL · On-site +1

$40/hr

... solving technical problems, and providing feedback that directly shapes how these systems reason ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

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

As of May 30, 2026, the average hourly pay for remote math problem solving in Springfield, IL is $28.04, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $28.61 per hour, depending on experience, location, and employer.

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.

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 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.

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 job categories do people searching Remote Math Problem Solving jobs in Springfield, IL look for? The top searched job categories for Remote Math Problem Solving jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Remote Math Problem Solving jobs? Cities near Springfield, IL with the most Remote Math Problem Solving job openings:
Remote Math Problem Solving jobs near you
Quantitative Strategist

Quantitative Strategist

DataAnnotation

Springfield, IL • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

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

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