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Nlp Engineer Jobs (NOW HIRING)

Entegrata

Applied AI + NLP Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As our first Applied AI + NLP Engineer, you build the intelligence that turns Entegrata's governed data platform into an enablement layer for a firm's entire AI strategy. You will ship the ...

Entegrata

$84K - $101K/yr

As our first Applied AI + NLP Engineer, you build the intelligence that turns Entegrata's governed data platform into an enablement layer for a firm's entire AI strategy. You will ship the ...

1872 Consulting

NLP Developer

Herndon, VA · On-site

Job Summary : 1872 Consulting is looking for a talented and creative Machine Learning Engineer to ... NLP research into production models. • Provide insight into methods that use NLP to further ...

Parsons

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production systems * Implement and optimize NLP pipelines for tasks such as classification, entity extraction ...

Accelint

Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

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 ...

AIToolboard

Jobs / NLP Algorithm Engineer (Chinese speaking) NLP Algorithm Engineer (Chinese speaking) Full-time About the RoleResponsibilities Responsibilities include: * Building NLP datasets and pipelines to ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

As the AI Research Engineer, youwill play a key role in the rapid growth ofULas you: * Studiesincident reports implicating LLMs or NLP algorithms and hypothesize root causes. * Conducts literature ...

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NLP Engineer information

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$36.5K

$107.3K

$137.5K

How much do nlp engineer jobs pay per year?

As of Sep 12, 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 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.

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.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.
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NLP Engineer jobs near you
Infographic showing various Nlp Engineer job openings in the United States as of September 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

NLP Engineer -- Multilingual (French / Arabic / Swahili)

Chicago, IL • On-site

Kilwa Technologies
See more jobs at Kilwa Technologiesexternal

Other

Posted 2 days ago

New

Job description

NLP Engineer — Multilingual (French / Arabic / Swahili)

Own the capability almost nobody else in this market has: reading the languages African investment decisions are actually made in.

Location Remote

Type Full-time

Team Engineering

What you'll do
  • Build and improve sentiment and policy-signal extraction natively in French, Arabic and Swahili.
  • Keep nuance intact by processing source languages directly rather than translating to English first.
  • Expand regional source coverage and adapt models to region-specific media registers.
  • Feed Sentiment Pulse output into the ISI and METI models as a first-class input.
What you bring
  • Multilingual NLP experience, ideally in lower-resource language settings.
  • Working fluency in at least one of French, Arabic or Swahili.
  • An understanding of where translation pipelines quietly destroy policy nuance.
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