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Nlp Engineer Jobs (NOW HIRING)

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 ...

... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ... electrical engineering machine learning applications Experience with large language models ...

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

... electrical engineering machine learning applications Experience with large language models ... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

... engineers to define product roadmap and feature specifications • Stay current with the latest technological advances in text mining, NLP processing, and machine learning Qualifications • ...

... electrical engineering machine learning applications Experience with large language models ... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ...

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

Stream | Software Engineering / AI & Machine Learning * Role Type | Principal-level individual contributor / technical leader The Principal NLP Scientist will work closely with software engineers ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

Showing results 21-40

Nlp Engineer information

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$36.5K

$107.3K

$137.5K

How much do nlp engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for nlp engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the NLP engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

More about Nlp Engineer jobs
What cities are hiring for Nlp Engineer jobs? Cities with the most Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Nlp Engineer jobs? States with the most job openings for Nlp Engineer jobs include:
Infographic showing various Nlp Engineer job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

$98K - $135K/yr

Full-time

Posted 22 days ago


Job description

Job Description
We have an exciting opportunity for an AI Research Engineer atUL 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 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.
Salary Range:
$98,562.21-$135,523.04
Pay Type:
Salary