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Natural Language Processing Developer Jobs (NOW HIRING)

$72K - $92K/yr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist ... Collaborate with engineering teams to integrate research prototypes into production systems. * Stay ...

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Natural Language Processing Developer information

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

As of Sep 14, 2026, the average hourly pay for natural language processing developer in the United States is $66.81, according to ZipRecruiter salary data. Most workers in this role earn between $57.93 and $83.89 per hour, depending on experience, location, and employer.

Are natural language processing developers in demand?

Natural language processing (NLP) developers are in high demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in programming languages like Python, along with experience in NLP frameworks and tools, are highly sought after as organizations seek to develop intelligent language-based applications.
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Infographic showing various Natural Language Processing Developer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $138,959 per year, or $66.8 per hour.

Natural Language Processing Engineer

Washington, DC โ€ข On-site

Beyond SOF
Professional, Scientific, and Technical Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 8 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.