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Natural Language Processing Jobs in Silver Spring, MD

ThinkTek

AI/ML SME

Merrifield, VA · On-site

$175K - $230K/yr

Build Natural Language Processing (NLP) capabilities for unstructured data analysis. * Develop data pipelines supporting AI and advanced analytics. * Perform statistical analysis using Python, R, SQL ...

ThinkTek

AI/ML SME

Merrifield, VA

$175K - $230K/yr

Build Natural Language Processing (NLP) capabilities for unstructured data analysis. * Develop data pipelines supporting AI and advanced analytics. * Perform statistical analysis using Python, R, SQL ...

ThinkTek

AI/ML SME

Merrifield, VA · On-site

$175K - $230K/yr

Build Natural Language Processing (NLP) capabilities for unstructured data analysis. * Develop data pipelines supporting AI and advanced analytics. * Perform statistical analysis using Python, R, SQL ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

The ideal candidate will have hands-on experience in building intelligent models using Natural Language Processing (NLP) techniques, working with large datasets, and leveraging LLMs (Large Language ...

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All JobsNatural Language Processing JobsNatural Language Processing Jobs in Silver Spring, MD

Natural Language Processing information

See Silver Spring, MD salary details

$14

$26

$49

How much do natural language processing jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for natural language processing in Silver Spring, MD is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $30.58 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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 job?

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 opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are popular job titles related to Natural Language Processing jobs in Silver Spring, MD? For Natural Language Processing jobs in Silver Spring, MD, the most frequently searched job titles are:
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What cities near Silver Spring, MD are hiring for Natural Language Processing jobs? Cities near Silver Spring, MD with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $54,776 per year, or $26.3 per hour.
Natural Language Processing Engineer

Natural Language Processing Engineer

Beyond SOF

Washington, DC • On-site

Full-time

Posted 17 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