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Remote Component Engineer Jobs in Mount Prospect, IL

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Familiarity with functional testing, component testing, and production-grade validation practices

Customer Account Manager

Chicago, IL ยท Remote

$123K - $137K/yr

... Engineering, or a related technical field, or equivalent experience Work Location * Remote within ... The compensation package for this position also includes a commission/variable component, which is ...

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... The range listed is just one component of DJEH's total compensation package for employees. Other ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote workers may be considered with the expectation that they travel to the Northbrook office ...

... Engineering, or a related technical field, or equivalent experience Work Location * Remote within ... The compensation package for this position also includes a commission/variable component, which is ...

B2C Account Manager

Chicago, IL ยท Remote

$60K - $80K/yr

As a fully remote, entrepreneurial company, we foster a collaborative, high-performing culture ... Partner with sales and engineering to help structure and clean up B2C customer data inside HubSpot ...

B2C Account Manager

Chicago, IL ยท Remote

$60K - $80K/yr

As a fully remote, entrepreneurial company, we foster a collaborative, high-performing culture ... Partner with sales and engineering to help structure and clean up B2C customer data inside HubSpot ...

Showing results 41-60

Remote Component Engineer information

See Mount Prospect, IL salary details

$25

$53

$76

How much do remote component engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote component engineer in Mount Prospect, IL is $53.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $61.88 per hour, depending on experience, location, and employer.

What is a remote component engineer?

A Remote Component Engineer is a professional who specializes in designing, selecting, and managing electronic or mechanical components for products or systems, while working remotely. Their responsibilities often include evaluating component quality, ensuring compatibility, and collaborating with cross-functional teams to support product development. Remote Component Engineers utilize digital tools and communication platforms to perform their duties from a location outside of the traditional office. This role is common in industries such as electronics, manufacturing, and technology, where global collaboration is essential. The position requires strong technical knowledge, analytical skills, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote component engineer?

To thrive as a Remote Component Engineer, you need a solid background in electronics, component selection, and circuit design, often supported by a degree in electrical engineering or a related field. Proficiency with CAD tools like Altium Designer or OrCAD, familiarity with ERP systems, and knowledge of industry standards are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills set standout candidates apart. These skills ensure reliable component choices, efficient collaboration with global teams, and successful project outcomes in distributed engineering environments.

How does a remote component engineer typically collaborate with cross-functional teams to ensure component integration and quality?

As a Remote Component Engineer, you will frequently work with design, manufacturing, and quality assurance teams to ensure that electronic or mechanical components meet project requirements. Collaboration often involves virtual meetings, sharing detailed specifications, and reviewing test results to address integration issues. You'll use digital collaboration tools to communicate updates, resolve technical challenges, and coordinate on design changes, making strong remote communication skills essential. This collaborative workflow ensures components are delivered on time and meet the necessary standards for performance and reliability.

What is the difference between Remote Component Engineer vs Remote PCB Designer?

AspectRemote Component EngineerRemote PCB Designer
Required CredentialsBachelor's in Electrical Engineering or related, certifications like IPC or EE licensesBachelor's in Electrical Engineering, Electronics, or related; certifications like IPC Designer Certification
Work EnvironmentDesigning and selecting electronic components, collaborating with engineers remotelyCreating PCB layouts, schematic design, and routing remotely
Industry UsageElectronics manufacturing, aerospace, consumer electronicsElectronics, telecommunications, consumer device design
Common Search/ComparisonYesYes

The Remote Component Engineer focuses on selecting and integrating electronic components into designs, ensuring compatibility and performance. In contrast, the Remote PCB Designer specializes in creating the physical layout of printed circuit boards. Both roles require electrical engineering knowledge and often collaborate remotely within electronics industries, but their core responsibilities differ in component selection versus PCB layout design.

What are popular job titles related to Remote Component Engineer jobs in Mount Prospect, IL?

For Remote Component Engineer jobs in Mount Prospect, IL, the most frequently searched job titles are:

What job categories do people searching Remote Component Engineer jobs in Mount Prospect, IL look for?

The top searched job categories for Remote Component Engineer jobs in Mount Prospect, IL are:

What cities near Mount Prospect, IL are hiring for Remote Component Engineer jobs?

Cities near Mount Prospect, IL with the most Remote Component Engineer job openings:

Infographic showing various Remote Component Engineer job openings in Mount Prospect, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $110,826 per year, or $53.3 per hour.

AI Research Engineer - NLP

Lucas James Talent Partners

Evanston, IL โ€ข On-site, Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Lucas James Talent Partners is recruiting on behalf of UL Research Institutes. We have an exciting opportunity for an AI Research Engineer at UL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity.

The AI Research Engineer advances Digital Safety mission by designing, developing, and evaluating advanced artificial intelligence (AI) safety assessment systems, with a focus on large language models (LLMs), natural language processing (NLP) safety. This role contributes to the development of rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights that improve the safety assessments of frontier AI systems.

UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put it into practice.

Digital Safety Research Institute:
The Digital Safety Research Institute (DSRI) addresses unresolved safety risks and emerging dangers in the world’s digital ecosystem. We aim to help protect people from unwanted access to personal devices and privacy, algorithms, and disinformation threats by working to create a new digital safety ecosystem.
DSRI is committed to sharing digital safety insights, collaborating with key stakeholders, and offering extensive outreach and education to help support safer digital environments for people everywhere.

What you’ll learn and achieve:
As the AI Research Engineer, you will play a key role in the rapid growth of UL as you:
  • Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes.
  • Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and troubleshooting skills.
  • Codes or trains text analytics needed to run NLP or LLM assessments. Prepares written component documentation for technical audiences.
  • Publishes assessment research results, on-line, using Digital Safety lab tools, and in peer-reviewed conferences and journals.
  • Works closely with team members to ensure that all processes are accurate and technically sound.
What you’ll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You’ll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today’s global challenges require.
  • Interesting work: Every day is different for us here. We see what’s on the horizon and use our expertise to build the foundations of a safer future. You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.


What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Demonstrates mastery level knowledge of NLP and LLM safety and how safety assessments can protect the public from LLM harms.
  • Solves AI assessment research challenges independently and efficiently.
  • Engages software engineering teams who build tools to help DSRI researchers scale their assessments to perform rapidly at scale
  • Looks ahead to needed research and development next steps, for better analytics to assess LLM or NLP outputs.
  • Begins developing relationships within the broader safety community

Professional education and experience requirements for the role include:
  • Ph.D. in computer science or related field, focused on NLP or LLMs.
  • 3 years of relevant experience, post Ph.D.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.








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