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Natural Language Processing Faculty Jobs (NOW HIRING)

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$72K - $92K/yr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist - Natural Language Processing Full-time About the Role Our client, a cutting-edge technology firm at the ...

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Natural Language Processing Faculty information

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

As of Sep 11, 2026, the average hourly pay for natural language processing faculty 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.

What is a natural language processing faculty?

Natural Language Processing (NLP) Faculty are academic professionals who teach, research, and develop technologies related to computational understanding and generation of human language. They typically hold positions at universities or research institutions, focusing on areas such as machine translation, sentiment analysis, speech recognition, and information extraction. Their responsibilities include conducting original research, publishing papers, mentoring students, and teaching courses on NLP and related fields. NLP faculty often collaborate with industry and other researchers to advance the state of the art in language technologies.

What are the key skills and qualifications needed to thrive as a natural language processing faculty?

To thrive as a Natural Language Processing Faculty, you need a strong background in computational linguistics, machine learning, and a relevant doctoral degree, often supported by a robust research portfolio. Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and academic publishing platforms is typically required. Excellent communication, mentorship, and collaboration skills set outstanding faculty apart in teaching and research environments. These competencies ensure effective knowledge transfer, impactful research, and the ability to inspire and guide the next generation of NLP professionals.

How does a natural language processing faculty member typically balance research, teaching, and industry collaboration responsibilities?

Natural Language Processing Faculty members often juggle multiple responsibilities, including conducting original research, teaching undergraduate and graduate courses, and collaborating with industry partners. Balancing these duties requires strong time-management and organizational skills, as research projects and grant applications can be time-consuming, while teaching demands preparation and student support. Many faculty members integrate their research into their teaching, and industry collaborations often provide real-world data and funding, enhancing both research and classroom experiences. Regular communication with colleagues and clear prioritization help faculty manage these diverse roles effectively.

What are popular job titles related to Natural Language Processing Faculty jobs?

For Natural Language Processing Faculty jobs, the most frequently searched job titles are:

Infographic showing various Natural Language Processing Faculty job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $138,959 per year, or $66.8 per hour.

Natural Language Processing Engineer

Washington, DC • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

Full-time

Re-posted 5 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.

Apply