Natural Language Processing Salary: Your 2026 Guide

Key takeaways

• The average salary for a professional skilled in natural language processing is $124,000, according to Payscale [1].

• The median total natural language processing engineer salary in the United States is $166,000 [2].

• Salaries for natural language processing jobs can vary based on factors such as experience and the type of industry.

NLP is typically considered a good career, with major firms, including Google, offering over $300,000 as median total pay for NLP engineers [2]. Learn more about the job role and salary prospects of NLP engineers. Afterward, if you’re ready to level up your skills in machine learning, enroll in the Machine Learning Specialization by Stanford University and DeepLearning.AI. You’ll have the opportunity to learn how to build machine learning models with NumPy and scikit-learn, train neural networks with TensorFlow, implement unsupervised learning techniques, and more.

What is natural language processing?

Natural language processing is the ability of computers, robots, and artificial intelligence (AI) models to understand spoken or written human language. NLP is the technology that allows you to command an AI assistant with your voice or write a text prompt to get a response from an AI chatbot.

NLP programming is a set of skills that can command a higher-than-average salary. Payscale reports the average salary for professionals with NLP skills is $124,000 annually [1]. Your job title is one of the biggest factors impacting how much you earn. You can find many different roles that require NLP skills. A common job title in the field is “NLP engineer,” but you can also work with NLP as a:

• Machine learning engineer

• NLP scientist

• Data scientist

• Applied AI scientist

• Product manager for an AI- or NLP-based product

Read more: How Does Natural Language Processing Work?

Natural language processing engineer salary and job outlook

If you want to work on NLP technology to create new applications that can solve problems and make life easier for your customers, you might want to become an NLP engineer. According to several job websites, the annual natural language processing engineer salary ranges from $107,282 to $166,000. Explore how these websites report the data [2, 3, 4]:

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

The exact amount you can expect to earn as an NLP engineer will depend on factors like where you live, your experience in the field, and which company you work for.

5 natural language processing jobs + salary

Your exact job title is one of the biggest factors impacting how much you earn in NLP. You may find many roles in machine learning and AI that involve NLP, such as the following:

All salary information represents the median total pay from Glassdoor as of August 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

1. NLP research scientist

Median total salary (US): $223,000 [5]

Job outlook (projected growth from 2024 to 2034): 20 percent [6]

As an NLP research scientist, you will advance NLP technology. You can work in a variety of settings, such as educational institutions, research firms, and industries like finance and technology. The main distinction between a research scientist and an applied scientist is that research scientists tend to work on new technology and find ways to make technology more powerful. In contrast, an applied scientist focuses on applying technology to existing problems.

2. Applied AI scientist

Median total salary (US): $203,000 [7]

Job outlook (projected growth from 2024 to 2034): 20 percent [6]

As mentioned above, an applied scientist is different from a research scientist because an applied scientist works to apply current technology to problems in new ways. As AI is still, in some ways, an emerging field, you may see an overlap between job responsibilities and these titles used interchangeably. In this role, you will use NLP and machine learning to create applications and programs that solve problems in the real world.

3. Machine learning engineer

Median total salary (US): $164,000 [8]

Job outlook (projected growth from 2024 to 2034): 20 percent [6]

As a machine learning engineer, you will use machine learning principles and data science to design, create, and develop machine learning programs and software to solve problems. In this role, you can work in many different industries that require machine learning solutions, like entertainment, transportation, health care, and more.

4. Data scientist

Median total salary (US): $157,000 [9]

Job outlook (projected growth from 2024 to 2034): 34 percent [10]

As a data scientist, you will use data to help companies and organizations learn actionable insights from the data they collect. You could work with other professionals, like NLP engineers, to create, maintain, train, and use NLP applications.

5. NLP or AI product manager

Median total salary (US): $124,787 [11]

Job outlook (projected growth from 2024 to 2034): 6 percent [12]

As an NLP or AI product manager, you will oversee the design, creation, marketing strategy, implementation, and product launch of a product that uses NLP or AI. You will help guide the strategies and vision for how the product will work, how users will interact with the product, and how you will reach customers with your brand and marketing strategy.

How to increase natural language processing salary

If you want to increase your salary in the NLP field, consider looking for a career with a job title that earns a higher average salary. You can gain experience in the field, consider working for different industries, and look for companies that pay higher than average.

Experience

Your years of experience in the field can make a big difference in how much you earn. For example, Glassdoor lists the median total NLP engineer salary as $166,000. This figure includes base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation. Glassdoor also offers a breakdown of how this median salary changes at different levels of experience [2]:

• 0–1 year: $135,000

• 1–3 years: $149,000

• 4–6 years: $163,000

• 7–9 years: $177,000

• 10–14 years: $203,000

• 15+ years: $235,000

All salary information represents the median total pay from Glassdoor as of August 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Industry

Another way you can earn a higher salary is by looking for work using NLP in different industries. For example, you can consider how Glassdoor breaks down the median NLP engineer salary working in different industries [2]:

• Legal: $145,000

• Agriculture: $155,000

• Pharmaceutical and biotechnology: $162,000

• Management and consulting: $182,000

• Personal consumer services: $184,000

• Financial services: $198,000

• Health care: $173,000

• Manufacturing: $151,000

• Retail and wholesale: $181,000

All salary information represents the median total pay from Glassdoor as of August 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Company

You may also find that working for different companies can greatly impact how much you earn. For example, explore the median salaries of NLP engineers at a top-paying company [2]:

• Google: $325,000

• Apple: $264,000

• Amazon: $228,000

• NVIDIA: $108,000

• Zillow: $98,000

• Adobe: $202,000

• Goldman Sachs: $196,000

• Drift: $189,000

• Stealth Startup: $183,000

All salary information represents the median total pay from Glassdoor as of August 2026. These figures include base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Is NLP in demand?

According to Grand View Research, the global NLP market size is set to reach $439.85 billion by 2030, growing at a compound annual growth rate of 38.7 percent between 2025 and 2030 [13]. The forecast hints at a rising demand for professionals skilled in natural language processing.

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