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Natural Language Processing Analyst Jobs (NOW HIRING)

AIToolboard

$72K - $92K/yr

Conduct advanced research in Natural Language Processing, including but not limited to: sentiment analysis, topic modeling, machine translation, text generation, and question answering. * Design ...

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Natural Language Processing Analyst information

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How much do natural language processing analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for natural language processing analyst in the United States is $38.84, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $45.67 per hour, depending on experience, location, and employer.

What is a natural language processing analyst?

A Natural Language Processing (NLP) Analyst is a professional who specializes in using computational techniques to analyze and interpret human language data. They work with large volumes of text or speech data to extract meaningful insights, build language models, and develop applications such as chatbots or sentiment analysis tools. NLP Analysts often collaborate with data scientists, linguists, and software engineers to improve language-based systems and enhance user interactions. Their work is essential in fields like artificial intelligence, customer service automation, and information retrieval.

How does a natural language processing analyst typically collaborate with cross-functional teams on projects?

Natural Language Processing Analysts often work closely with data scientists, software engineers, and product managers to design and implement language-based solutions. They may be responsible for translating project requirements into technical specifications, sharing insights from text data analysis, and ensuring that NLP models align with business objectives. Regular communication and teamwork are essential, as NLP Analysts provide expertise on linguistic challenges and help integrate their models into broader applications. This collaborative environment fosters both technical growth and a deep understanding of the business context.

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

To thrive as a Natural Language Processing Analyst, you need a solid background in linguistics, statistics, and computer science, often supported by a degree in a related field and experience with NLP concepts. Proficiency with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, as is familiarity with data annotation and processing tools. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with cross-functional teams. These skills ensure accurate model development, efficient data handling, and the translation of complex findings into actionable insights for organizational success.

What is the difference between Natural Language Processing Analyst vs Data Scientist?

AspectNatural Language Processing AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related; often with advanced certifications
Work EnvironmentTech companies, research labs, or AI-focused teamsVarious industries including finance, healthcare, tech; broader scope
Employer & Industry UsagePrimarily in AI, NLP, and language-focused projectsAcross data-driven sectors, including analytics and machine learning
Common Search & Comparison IntentUnderstanding specific NLP roles vs broader data analysis roles

The Natural Language Processing Analyst specializes in developing and implementing NLP models to analyze language data, while a Data Scientist has a broader focus on analyzing various data types to inform business decisions. Both roles require strong technical skills, but NLP Analysts focus more on language-specific tasks within AI projects.

What cities are hiring for Natural Language Processing Analyst jobs?

Cities with the most Natural Language Processing Analyst job openings:

What states have the most Natural Language Processing Analyst jobs?

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

What are popular job titles related to Natural Language Processing Analyst jobs?

For Natural Language Processing Analyst jobs, the most frequently searched job titles are:

Infographic showing various Natural Language Processing Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $80,791 per year, or $38.8 per hour.

Natural Language Processing Engineer

Washington, DC • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

Full-time

Re-posted 5 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