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Natural Language Processing Analyst Jobs (NOW HIRING)

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Training in deep learning approaches and natural language processing * Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow * Experience with large data ...

Overture Partners

Prompt Engineer- Pipeline

Experience in AI, natural language processing, or a similar role. * Strong understanding of conversational AI and language model functioning. * Excellent analytical and problem-solving skills.

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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.

Data Scientist

Seattle, WA • On-site

Conversica, Inc
Software Development • 51 - 200 employees
Learn more about Conversica, Incexternal

Full-time

Re-posted 22 days ago

Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
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 RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications

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