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Remote Wireless Research Scientist Jobs (NOW HIRING)

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145 ... Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated content to ...

Hitachi

Research Scientist - Theoretical Physics

Raleigh, NC · On-site +1

  • Medical

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Theoretical Physics The Opportunity As a Research Scientist focused on theoretical physics applications for power system ...

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... Science , AI/ML Research , Computer Science , Game Development , or Mechanical/Aerospace ...

Hitachi

Research Scientist - Power Systems

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power Systems The Opportunity At Hitachi Energy, we're not just imagining the future of power systems-we're building it.

Wisconsin

Senior Research Scientist-Field Day

Madison, WI · On-site +1

$99K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Scientist III Job Summary: The Wisconsin Center for Education Research (WCER), housed in the ... Remote work is subject to UW-Madison remote-work policies and approval. Key Job Responsibilities:

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Hitachi

Research Scientist - Power System Operation

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering & Science Job Schedule: Full time Remote: No Research Scientist - Power System Operation The Opportunity Hitachi Energy is driving the transformation of the global power grid-and we're ...

Weekday AI

Biology Research Scientist (BA, MS, PhD)

$50 - $70/hr

PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug ... Engagement Details * Remote independent contractor opportunity. * Immediate start available.

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Remote Wireless Research Scientist information

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$50.5K

$130.1K

$174K

How much do remote wireless research scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote wireless research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Wireless Research Scientist vs Remote Wireless Engineer?

AspectRemote Wireless Research ScientistRemote Wireless Engineer
Required CredentialsMaster's or PhD in Electrical Engineering, Wireless Communications, or related fieldsBachelor's or Master's in Electrical Engineering or Computer Science
Work EnvironmentResearch labs, academic institutions, corporate R&D teamsDesign, develop, and implement wireless systems in industry settings
Employer & Industry UsageUniversities, research institutions, tech companiesTelecom companies, device manufacturers, network providers
Common Search & Comparison IntentUnderstanding research-focused roles in wireless techLooking for industry-focused wireless engineering roles

The Remote Wireless Research Scientist primarily focuses on advancing wireless technology through research and development, often working in academic or corporate R&D environments. In contrast, the Remote Wireless Engineer applies existing wireless principles to design, develop, and deploy wireless systems in industry settings. Both roles require strong technical credentials, but their focus and work environment differ significantly.

What are some common challenges faced by remote wireless research scientists, and how are they typically addressed?

Remote Wireless Research Scientists often encounter challenges such as coordinating with distributed teams, accessing specialized laboratory equipment, and ensuring effective communication across time zones. These challenges are typically addressed through the use of collaborative digital tools, remote access to simulation platforms, and regular virtual meetings. Additionally, many organizations provide structured project management systems and flexible work schedules to support remote collaboration and maintain research productivity.

What does a remote wireless research scientist do?

A Remote Wireless Research Scientist conducts research and development on wireless communication technologies, such as 5G, WiFi, and emerging protocols, often working from a remote location. Their work involves designing experiments, analyzing data, developing algorithms, and publishing findings to advance wireless network performance, security, and efficiency. They may collaborate with other researchers, engineers, or industry partners, and utilize tools like simulation software and hardware prototypes. This role requires strong technical expertise in wireless systems, signal processing, and computer networking.

What are the key skills and qualifications needed to thrive as a remote wireless research scientist?

To thrive as a Remote Wireless Research Scientist, you need a solid background in wireless communications, signal processing, and computer science, usually supported by an advanced degree in electrical engineering or a related field. Familiarity with simulation tools like MATLAB, network analyzers, and programming languages such as Python or C++ is typically required, along with experience in wireless standards and protocols. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are crucial soft skills for this role. These competencies enable effective research, innovation, and collaboration in advancing wireless technology solutions.
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Cities with the most Remote Wireless Research Scientist job openings:

What are the most commonly searched types of Wireless Research Scientist jobs?

The most popular types of Wireless Research Scientist jobs are:

What states have the most Remote Wireless Research Scientist jobs?

States with the most job openings for Remote Wireless Research Scientist jobs include:

What job categories do people searching Remote Wireless Research Scientist jobs look for?

The top searched job categories for Remote Wireless Research Scientist jobs are:

Remote Wireless Research Scientist jobs near you
Infographic showing various Remote Wireless Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Lead Research Scientist in AI

UL Research Institutes

Remote

Full-time

Posted 26 days ago

Job description

Job Description
We have an exciting opportunity for a Lead Research Scientist in AI atUL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity.
The Lead Research Scientist in AI directs advanced research in natural language processing (NLP) and large language models (LLMs) to support Digital Safety's mission. This role leads research in NLP and LLM safety including literature surveys, experimental design, AI/software engineering, data acquisition, data analysis, and documentation necessary to execute comprehensive experimental studies. The Lead Research Scientist establishes research concepts and criteria to resolve major problems in current programs or approaches. Projects require substantial knowledge of state-of-the-art AI/software engineering principals and theories and uses professional concepts and procedures to solve a wide range of research-based problems.
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 Lead Research Scientist in AI, you will play a key role in the rapid growth of UL as you:
  • Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms - focusing on testing systems enabling the most public harm.

  • Lead and contribute to the development of competitive research proposals, including defining scope, methodology, and deliverables, to secure funding for independent AI test and evaluation research programs.

  • Serve as a principal investigator Digital Safety's independent test and evaluation research programs in NLP and LLMs, providing scientific leadership and accountability for program outcomes, timelines, and deliverables

  • Apply intensive and diverse knowledge of technology and AI/software engineering concepts to execute and manage specific research programs.

  • Analyze experimental results to determine causes of problems and develop solutions, and evaluates technical specifications and factors related to process or design objectives.

  • Plan, design, and complete initial and follow-up procedures as needed to validate the testing and evaluation results.

  • Plan, design, and execute research challenges, using and improving Digital Safety's evaluation tools, to lead the NLP and LLM community to solve problems of importance to transition partners.

  • Propose and host workshops at leading research conferences in AI safety where research challenge winning methods and their comparative results are discussed to move the field forward in producing results that can have impact in public safety.

  • Stay ahead of changing technologies in the field by reading papers and scientific publications and attending academic conferences.'

  • Contribute to and/or lead other department specific and cross-functional initiatives.

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:
  • Expert knowledge of AI/software engineering disciplines.

  • Demonstrated experience to secure research funding through competitive proposal development.

  • Demonstrated experience to lead research programs and serve as principal investigator, driving accountability for scientific outcomes and program execution.

  • Demonstrated ability to attract invitations to give keynote presentations.

  • Excellent communication skills required.

  • Advanced AI/software engineering and data analysis skills.

  • Ability to collaborate effectively with research scientists, engineers, and external partners to deliver research outcomes

  • Ability to publish research results at leading academic conferences.

Professional education and experience requirements for the role include:
  • PhD in computer Science (with a focus on NLP or LLMs) plus 6 or more years of directly related research experience.

  • Master's degree in computer science (with a focus on NLP or LLMs) plus 8 or more years of directly related research experience.

  • Bachelor's degree in computer science (with a focus on NLP or LLMs) plus 12 or more years of directly related research experience.

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.
Salary Range:
$131,186.31-$180,381.17
Pay Type:
Salary

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