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Remote Materials Science Jobs in Seattle, WA (NOW HIRING)

Physics Expert - Remote

Seattle, WA · Remote

$80 - $160/hr

Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific ... Optical Properties of Materials * 3-5 recent representative publications in the target research ...

Physics Expert - Remote

Seattle, WA · Remote

$80 - $160/hr

Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific ... Optical Properties of Materials * 3-5 recent representative publications in the target research ...

... materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company ... Location: Seattle, WA (preferred); open to College Park, MD or Remote Travel: 10% domestic or ...

New

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

Hematology Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess ...

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Seattle, WA (Remote) Duration: 12 months contract with possible of extension Description This role is for a Research Scientist who will be responsible for designing and implementing robust processes ...

Manager, Global Network Operations

Bothell, WA · On-site +1

$95K - $127K/yr

... materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company ... We are open to hybrid and remote options for the right candidate. Travel: 25-40% domestic or ...

GIS/Geospatial Expert

Seattle, WA · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

GIS/Geospatial Expert

Seattle, WA · Remote

$80 - $100/hr

Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their ... Science . No prior AI training experience is required. What matters most is your ability to apply ...

Remote online tutoring Materials: Yes Requirement: Bachelor's degree and at least 2 years of ... Bachelor of Arts/Science degree from a highly reputable university. * A track record of having ...

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Remote Materials Science information

See Seattle, WA salary details

$60.3K

$141.1K

$196.9K

How much do remote materials science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote materials science in Seattle, WA is $141,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $190,000.00 per year, depending on experience, location, and employer.

What is a remote materials science?

A Remote Materials Science job involves researching, analyzing, and developing materials while working remotely. Professionals in this field study the properties and applications of metals, polymers, ceramics, and composites, often using virtual simulations, data analysis tools, and remote lab access. They collaborate with teams via digital platforms, conduct experiments, and optimize materials for industries like aerospace, electronics, and healthcare. This role requires strong technical skills, self-motivation, and the ability to communicate findings effectively with remote teams.

What are the typical responsibilities of a remote materials science professional, and how does the remote aspect impact daily work?

As a Remote Materials Science professional, your daily tasks often include analyzing materials data, conducting research projects, running simulations, preparing technical reports, and collaborating with engineering or R&D teams via virtual meetings. The remote environment means you’ll rely heavily on digital collaboration tools for sharing results and coordinating experiments, and may need to be proactive in communicating with colleagues across time zones. While you may occasionally visit laboratories for hands-on testing, most work is completed independently from your home or a remote office. This setup allows for increased flexibility but also requires strong self-motivation and organizational skills to manage multiple projects efficiently.

What are the key skills and qualifications needed to thrive in the remote materials science position, and why are they important?

To thrive in Remote Materials Science, you need a solid background in materials engineering or chemistry, data analysis, and scientific research, typically with at least a bachelor's or master's degree in a related field. Familiarity with simulation software (such as MATLAB, COMSOL, or Materials Studio), laboratory data management tools, and possibly industry certifications can be highly beneficial. Strong communication, time management, and problem-solving skills are essential for effective remote collaboration and project completion. These capabilities are crucial for contributing to innovative materials solutions and achieving research or product development goals in a remote setting.

What are the most commonly searched types of Materials Science jobs in Seattle, WA?

The most popular types of Materials Science jobs in Seattle, WA are:

What are popular job titles related to Remote Materials Science jobs in Seattle, WA?

For Remote Materials Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Materials Science jobs in Seattle, WA look for?

The top searched job categories for Remote Materials Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Materials Science jobs?

Cities near Seattle, WA with the most Remote Materials Science job openings:

Infographic showing various Remote Materials Science job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Temporary. Highlights an 100% Remote job distribution, with an average salary of $141,085 per year, or $67.8 per hour.

Technical Problem Author (Multi-Domain) - Remote

Seattle, WA • Remote

$80 - $110/hr

Full-time

Posted 5 days ago


Job description

Job Title: Technical Problem Author – Engineering

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance.

Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most.

Scope of Work
  • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines.
  • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance.
  • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts.
  • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions.
  • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment.
  • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning.
  • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables.
  • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.
Required Skills
  • Mechanical Engineering
  • Aerodynamics
  • AutoCAD
  • Technical Problem Authoring
  • Engineering Analysis
  • Technical Documentation
  • Analytical Reasoning
  • Technical Review & Validation
  • Written and Verbal Communication
Preferred Qualifications
  • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience.
  • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles.
  • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs.
  • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise.
  • Professional-level English proficiency with excellent written and verbal communication skills.
  • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty.
  • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.
Compensation Structure

Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow.

Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week.

Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding.

If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.