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Entry Level Natural Language Processing Engineer Jobs

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 ...

Apply natural language processing techniques to improve text analytics * Participate in client ... Strong foundation in software engineering principles, application development, and system design

... 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 ...

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Entry Level Natural Language Processing Engineer information

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$30K

$69.4K

$118K

How much do entry level natural language processing engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level natural language processing engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

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

The most popular types of Natural Language Processing Engineer jobs are:

What are popular job titles related to Entry Level Natural Language Processing Engineer jobs?

For Entry Level Natural Language Processing Engineer jobs, the most frequently searched job titles are:

Natural Language Processing Engineer

Washington, DC • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees

Full-time

Re-posted 9 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.