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Remote Nlp Research Scientist Jobs (NOW HIRING)

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Senior AI Research Scientist (NLP)

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.

Snorkel AI

Research Scientist

As a Research Scientist, you will bridge the gap between cutting-edge research and real-world AI ... Preferred : • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an ...

Snorkel AI

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

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

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

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 ...

OpenRouter, Inc

Research Scientist

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

The Trevor Project

Research Scientist

$75K - $91K/yr

This role will be remote in the continental United States, Alaska, or Hawaii Reports to: Director of Research Science Classification: Exempt Full Time Union Role? Yes Salary Range: $75k - 91k Summary:

The Trevor Project

Research Scientist

Charleston, WV · Remote

$75K - $91K/yr

This role will be remote in the continental United States, Alaska, or Hawaii Reports to: Director of Research Science Classification: Exempt Full Time Union Role? Yes Salary Range: $75k - 91k Summary:

Digital Harbor Foundation

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

We aim to fund and accelerate existing research by increasing investments in Antarctic science as ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

We aim to fund and accelerate existing research by increasing investments in Antarctic science as ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Humana, Inc.

Research Scientist 2

Become a part of our caring community Humana's Clinical Innovation and Trend Analytic Team is seeking a Research Scientist 2 (Remote). Healthcare is rapidly changing, and our members are living ...

FAR.AI

$120K - $190K/yr

As a scientist, you will take ownership of and accelerate existing AI alignment research agendas ... Both remote and in-person (Berkeley, CA or Singapore) are possible. We sponsor visas for in-person ...

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

As of Jul 26, 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 are the key skills and qualifications needed to thrive as a Remote NLP Research Scientist, and why are they important?

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 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 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.
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What cities are hiring for Remote Nlp Research Scientist jobs? Cities with the most Remote Nlp Research Scientist job openings:
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Remote Nlp Research Scientist jobs near you
Infographic showing various Remote Nlp Research Scientist job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 12% As Needed, 73% Full Time, 1% Part Time, 3% Contract, and 7% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Lead Research Scientist in AI

Lead Research Scientist in AI

UL Research Institutes

Remote

Full-time

Posted 6 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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