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Remote Materials Science Consultant Jobs in Illinois

DataAnnotation

Data Science Consultant

Springfield, IL · On-site +1

$40/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

ALK

Medical Science Liaison

Springfield, IL · Remote

This is a remote position based in the Great Lakes region. Reporting to the Associate Director of ... Your responsibility Develop professional relationships with clinical consultants and national ...

OneStream

Senior Solution Consultant

Chicago, IL · Remote

$175K - $190K/yr

Senior Solution Consultant, US Remote, US: OneStream Software LLC (ideally located in Chicago ... Ensure standard demo environments and materials are current, accurate, and impactful. * Deliver ...

DataAnnotation

Aerospace Engineer

Springfield, IL · Remote

$40/hr

Mechanical Engineering, Materials Science, Aeroscience. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own ...

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Remote Materials Science Consultant information

What is the difference between Remote Materials Science Consultant vs Remote Materials Engineer?

AspectRemote Materials Science ConsultantRemote Materials Engineer
Required CredentialsBachelor's or Master's in Materials Science or related field; certifications varyBachelor's or Master's in Materials Science or Engineering; professional certifications optional
Work EnvironmentConsulting firms, client sites, remote collaborationResearch labs, manufacturing companies, remote design work
Employer & Industry UsageConsulting agencies, R&D firms, manufacturing industriesManufacturers, aerospace, automotive, electronics industries
Search & Comparison IntentYesYes

The main difference is that Remote Materials Science Consultants focus on providing expert advice and project-based support across various industries, often working remotely with multiple clients. Remote Materials Engineers typically work within companies on product development, testing, and materials analysis, often in a dedicated work environment. Both roles require a strong background in materials science but differ in their work setting and scope.

What are popular job titles related to Remote Materials Science Consultant jobs in Illinois? For Remote Materials Science Consultant jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Materials Science Consultant jobs in Illinois look for? The top searched job categories for Remote Materials Science Consultant jobs in Illinois are:
Remote Materials Science Consultant jobs near you
Infographic showing various Remote Materials Science Consultant job openings in Illinois as of May 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% Remote job distribution.
Data Science Consultant

Data Science Consultant

DataAnnotation

Springfield, IL • On-site, Remote

$40/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, starting at $40+ USD per 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). Note: 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. #datascience #J-18808-Ljbffr

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