ZipRecruiter

Log In

1

Natural Language Processing Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies. YOUR ...

J.P. Morgan

Applied AI/ML Lead - Payments

New York, NY

  • Medical

  • Retirement

Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents. * Define evaluation strategies ...

JPMorgan Chase & Co.

Applied AI/ML Lead - Payments

Seattle, WA · On-site

$171K - $260K/yr

  • Medical

  • Retirement

Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents. * Define evaluation strategies ...

JP Morgan Chase

Applied AI/ML Lead - Payments

Seattle, WA · On-site

  • Medical

  • Retirement

Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents. * Define evaluation strategies ...

next page

Showing results 1-20

All JobsNatural Language Processing Jobs

Natural Language Processing information

See salary details

$14

$25

$48

How much do natural language processing jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for natural language processing in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
More about Natural Language Processing jobs

What cities are hiring for Natural Language Processing jobs?

Cities with the most Natural Language Processing job openings:

What are the most commonly searched types of Natural Language Processing jobs?

The most popular types of Natural Language Processing jobs are:

What states have the most Natural Language Processing jobs?

States with the most job openings for Natural Language Processing jobs include:

What job categories do people searching Natural Language Processing jobs look for?

The top searched job categories for Natural Language Processing jobs are:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $52,986 per year, or $25.5 per hour.

Natural Language Processing Engineer

Beyond SOF

Washington, DC • On-site

Full-time

Re-posted 7 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply