NLP Engineer Salary: Your 2026 Guide

Key takeaways

• NLP engineer salary data shows a range of $101,000 to $165,000 across various job sites [1, 2].

• The average salary of an NLP engineer depends on education, experience, skills, industry, location, and company.

• According to Glassdoor, a senior NLP engineer salary is $235,000, which represents median total pay [2].

NLP engineer jobs involve creating NLP models by converting human language to mathematical models, all of which require various skills that can also impact your earning potential. Learn more about an NLP engineer’s job skills, salary, and career prospects.

If you're ready to build your NLP skills, consider enrolling in DeepLearning.AI’s Natural Language Processing Specialization. You’ll have the opportunity to learn about applied machine learning, artificial neural networks, and deep learning in as little as three months.

What does an NLP engineer do?

NLP engineers design and create NLP models and algorithms by converting human language into mathematical models. Essentially, the models translate definitions and context among other linguistic elements into instructions that computers can interpret and process. NLP engineers incorporate aspects of artificial intelligence (AI), such as pattern recognition and machine learning, to develop these models. Other typical work duties of an NLP engineer include:

• Developing algorithms that perform sentiment analysis

• Establishing data sets for language training

• Creating mathematical frameworks that enable machines to identify patterns in data

• Working with data analysts and software developers to refine language models

NLP, a subset of AI, enables computers to comprehend and respond to text and speech, facilitating smooth and meaningful human-machine interactions. Operating largely out of sight, NLP technology fuels many common daily activities. For instance, each time you use a search engine, operate a GPS by voice, or interact with a digital assistant, you are harnessing the power of NLP.

The expertise and adept work of NLP engineers contribute to technologies such as Amazon's NLP-enabled digital assistant, Alexa, which offers intuitive voice-controlled experiences, such as locking your front door with smart locks, translating languages, and assisting you with daily routines.

What is the average salary of an NLP engineer?

According to multiple job listing sites, the average annual pay for NLP engineers ranges from $101,000 to $165,000. When you look for NLP engineer job listings, you may find them under related names, such as computational linguist, machine learning engineer, or NLP data scientist. The following table lists the base salary ranges provided by Payscale, ZipRecruiter, Salary.com, and Glassdoor [1, 2, 3, 4].

The Glassdoor salary represents the median total pay as of July 2026. This figure includes base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Factors impacting NLP engineer salary

Several factors can affect your salary as an NLP engineer. Education, experience, industry, location, and company can all influence your yearly earnings.

Education

According to Zippia, a computational linguist with a bachelor’s degree earns an average salary of $83,464 annually, while an associate degree holder earns $70,413 [5]. Earning a master's degree offers a higher average annual income of $88,203, and a doctorate can help you command an average of $91,228 per year [5]. The most common academic qualification among NLP engineers is a bachelor's degree [6]. Typical fields of study include linguistics, mathematics, and computer science.

Read more: How to Get a Bachelor's Degree: Requirements to Graduate

Experience

With increased experience comes greater earning potential. The following list outlines the median total pay you can expect based on your accumulated years of experience, according to Glassdoor [2]:

• 0–1 year: $135,000

• 1–3 years: $149,000

• 4–6 years: $162,000

• 7–9 years: $176,000

• 10–14 years: $203,000

• 15 or more years: $235,000

Skills

A strong technical skill set can give you an edge over your peers as an NLP engineer, potentially leading to better job opportunities and higher pay. Payscale lists the following as key skills and average annual salaries for computational linguists [1]:

• Natural language processing: $90,000

• Python: $85,500

• Data processing: $96,000

• Machine learning: $80,000

• Computational linguistics: $90,000

Industry

Your annual income is also shaped by the industry you choose to work in. Among the top-paying industries for NLP engineers are [2]:

• Restaurants and food service: $155,000

• Financial services: $198,000

• Retail and wholesale: $181,000

• Human resources and staffing: $160,000

• Information technology: $192,000

Location

If you're an NLP engineer in a major tech hub or metropolitan area, you'll likely earn more due to the higher cost of living and increased demand for your expertise.

Highest-paying cities for NLP engineers

If you’re willing to relocate for your employment, gaining an insight into location-based salaries can help you make an informed decision. Below are some top-paying cities for NLP engineers in the United States, according to data aggregated by Zippia [5]:

• Mountain View, CA: $106,464

• Salem, OR: $93,763

• Annapolis, MD: $91,104

• Boston, MA: $90,585

• Hartford, CT: $90,511

• Providence, RI: $89,835

• Pittsburgh, PA: $86,417

• New York, NY: $85,190

• Richmond, VA: $85,103

Company

Big tech corporations, particularly those in the IT sector, typically pay higher salaries because they participate in larger-budget, more extensive projects.

Highest-paying companies for NLP engineers

The following list highlights salary ranges offered by top-paying companies for NLP engineers in the United States, according to Glassdoor [2]:

• Google: $262,000–$397,000

• Apple: $216,000–$325,000

• InMoment: $129,000–$171,000

• Olive: $123,000–$164,000

• Drift: $158,000–$216,000

• Kasisto: $136,000–$221,000

What qualifications do I need for NLP?

To become an NLP engineer, you’ll want to earn an associate degree or bachelor’s degree in engineering, data science, or computer science. You’ll also want to build skills in programming, software design, code troubleshooting, and problem-solving.

Is NLP in high demand?

With the AI industry advancing quickly, NLP engineers have a promising job outlook. The estimated value of AI tools in the US grew to over $172 billion in 2026 [7]. This impressive growth is projected to continue, with the market expected to surpass $465 billion by 2030, according to Allied Business Intelligence, Inc. [8].

The uptick in the AI market will likely create more employment opportunities for AI professionals, including NLP engineers. The US Bureau of Labor Statistics (BLS) forecasts a 20 percent increase in employment opportunities for computer and information research scientists between 2024 and 2034 [9]. The projection translates to 3,200 job openings a year, on average, during that time frame [9].

Find free resources for your NLP career

Explore career paths, assess your skills, or take a quiz by visiting our Career Resource Hub. Then, check out these free resources as you consider an NLP engineer career:

• Consider your path: Natural Language Processing Learning Roadmap: Beginner to Expert

• Learn your terms: Artificial Intelligence (AI) Terms & Definitions

• Read our Career Chat issue: 6 Machine Learning Certificates + How to Choose the Right One for You

Whether you want to develop a new skill, get comfortable with an in-demand technology, or advance your abilities, keep growing with a Coursera Plus subscription. You’ll get access to over 10,000 flexible courses.