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Natural Language Processing Developer Jobs (NOW HIRING)

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... 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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Natural Language Processing Developer information

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

As of Jun 18, 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.

Is ML a high paying job?

Machine Learning (ML) roles, including Natural Language Processing Developers, are generally well-compensated due to the specialized skills required, such as programming in Python, understanding of algorithms, and experience with frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but advanced ML positions often offer above-average salaries compared to many other tech roles.

Is NLP in high demand?

Natural Language Processing (NLP) developers are in high demand due to the increasing use of AI-powered language applications, chatbots, and virtual assistants. Organizations seek professionals skilled in machine learning, deep learning, and NLP tools like Python, TensorFlow, and spaCy to develop and improve language models, making the role highly sought after across various industries.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

Will AI replace NLP?

As a Natural Language Processing Developer, it is important to understand that AI advances are enhancing NLP capabilities rather than replacing the field. AI tools and models like machine learning and deep learning are used to develop more sophisticated NLP applications, but human expertise remains essential for designing, training, and fine-tuning these systems.
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Natural Language Processing Developer jobs near you
Natural Language Processing Engineer

Natural Language Processing Engineer

Beyond SOF

Washington, DC

Other

Posted yesterday

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