2

Remote Nlp Research Scientist Jobs (NOW HIRING)

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Continuously research and apply the latest techniques in NLP to supply chain problems.

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

Research Scientist

New York, NY · On-site +1

$200K - $350K/yr

San Francisco OR REMOTE Main Responsibilities * Design, implement, and validate novel AI techniques ... Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on ...

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models ... Stay current with state-of-the-art advances in LLMs, NLP, and related fields Minimum Qualifications:

This isa REMOTE opportunity The AI Research Engineer advancesDigitalSafety mission by designing ... AtUL Research Institutes(ULRI),weexpand the boundaries of safety science tocreate a more secure and ...

Research Scientist

$250K - $285K/yr

About the Role As a Research Scientist, you will conduct deep, original research that advances how ... Hands-on experience with modern ML/NLP techniques such as LLM evaluation, fine-tuning, embeddings ...

This is a REMOTE opportunity The AI Research Engineer advances Digital Safety mission by designing ... At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more ...

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

next page

Showing results 1-20

Remote Nlp Research Scientist information

See salary details

$50.5K

$130.1K

$174K

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

As of Sep 15, 2026, the average yearly pay for remote nlp 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 does a remote NLP research scientist do?

A Remote NLP (Natural Language Processing) Research Scientist develops and improves algorithms that enable computers to understand, interpret, and generate human language. Working remotely, they conduct experiments, analyze data, and collaborate with other scientists to advance NLP technologies. Their work often involves tasks such as designing new models, publishing research, and implementing solutions for applications like chatbots, translation systems, and sentiment analysis. They typically use programming languages like Python and work with large datasets to train and evaluate machine learning models.

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

To thrive as a Remote NLP Research Scientist, you need a strong background in computational linguistics, machine learning, and programming, typically supported by a PhD or advanced degree in computer science or a related field. Expertise with deep learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like Hugging Face Transformers), and experience publishing in top conferences is highly valued. Strong analytical thinking, self-motivation, and clear written communication are crucial soft skills for remote collaboration and innovative research. These competencies enable the scientist to develop cutting-edge NLP models, contribute to impactful research, and collaborate effectively within distributed teams.

What are some common challenges faced by remote NLP research scientists, and how can they be addressed?

Remote NLP Research Scientists often face challenges such as coordinating with global teams across different time zones, ensuring effective communication, and accessing large datasets or computational resources remotely. These can be addressed by establishing clear communication protocols, regularly scheduled virtual meetings, and utilizing cloud-based platforms for collaboration and resource sharing. Staying proactive in communication and leveraging online project management tools helps maintain alignment and productivity within distributed research teams.
More about Remote Nlp Research Scientist jobs

What cities are hiring for Remote Nlp Research Scientist jobs?

Cities with the most Remote Nlp Research Scientist job openings:

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

The most popular types of Nlp Research Scientist jobs are:

What states have the most Remote Nlp Research Scientist jobs?

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

What are popular job titles related to Remote Nlp Research Scientist jobs?

For Remote Nlp Research Scientist jobs, the most frequently searched job titles are:

Infographic showing various Remote Nlp Research Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 10% Part Time, and 1% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Lead Research Scientist in AI

Remote

UL Research Institutes
Scientific Research and Development Services • 51 - 200 employees

Full-time

Re-posted 26 days ago


Job description

Job Description

We have an excitingopportunity foraLead Research Scientist in AIatUL Research Institutes, within our Digital Safety Research Institute (DSRI). This isa REMOTE opportunity.

TheLead Research Scientist in AIdirects advanced research in natural language processing (NLP) and large language models (LLMs) to support Digital Safety's mission. This role leadsresearchin 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 Scientistestablishesresearch concepts and criteria to resolve major problems in current programs or approaches. Projectsrequiresubstantial knowledge ofstate-of-the-artAI/software engineering principals and theories and uses professional concepts and procedures to solve a wide range of research-based problems.

ULResearch Institutes:

AtUL Research Institutes(ULRI),weexpand the boundaries of safety science tocreate a more secure and sustainable world. Formore thana century, we have studied the unintended consequences of innovation, designed solutions to mitigateriskand shared our findings with academia, scientists, manufacturers, and policymakers across industries.Weidentifycritical safety and sustainability issues, askingtoughquestions 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 Safetyteamswho conduct the researchrequiredto produce that knowledgeandput itintopractice.

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.

Whatyou'lllearnandachieve:

As theLead Research Scientist in AI,youwill play a key role in the rapid growth ofULas 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 andevaluationresearch 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 todeterminecauses of problems and develop solutions, andevaluatestechnical specifications and factors related to process or designobjectives.

  • Plan, design, and completeinitialand follow-up procedures as needed tovalidatethe 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 haveimpactinpublic safety.

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

  • Contribute to and/or leadother departmentspecific 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.

  • Demonstratedexperience to secure research funding through competitive proposal development.

  • Demonstratedexperienceto leadresearch programs andserveas principal investigator, driving accountability for scientific outcomes and program execution.

  • Demonstratedability to attract invitations to give keynote presentations.

  • Excellent communication skillsrequired.

  • 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 ofdirectly relatedresearch experience.

  • Master's degree in computer science (with a focus on NLP or LLMs) plus 8 or more years ofdirectly relatedresearch experience.

  • Bachelor's degree in computer science (with a focus on NLP or LLMs) plus 12 or more years ofdirectly relatedresearch experience.

AboutUL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagementarenonprofit organizationsdedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data,conveneexperts 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 enhancingsocietal well-being.

To learn more, visitour websitesUL.organdULSE.org.

Salary Range:

$131,186.31-$180,381.17

Pay Type:

Salary