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Natural Language Processing Specialist 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 ...

Genesys

Language Data Specialist - Korean

Language Data Specialist India Role Overview Drive the quality and intelligence behind advanced ... Interest in natural language processing, machine learning, or AI driven products Working at Genesys

Overture Partners

Prompt Engineer- Pipeline

Our team values creativity, expertise in natural language processing, and a passion for developing intelligent and responsive AI systems. We are looking for a talented Prompt Engineer to join our ...

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

As of Sep 11, 2026, the average hourly pay for natural language processing specialist in the United States is $21.13, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.76 per hour, depending on experience, location, and employer.

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Infographic showing various Natural Language Processing Specialist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $43,948 per year, or $21.1 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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