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Natural Language Processing Assistant Professor Jobs

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Recommendation from a previous employer, internship supervisor, or a professor * Great ...

Marshall University

Assistant Professor

Huntington, WV · On-site

... language pathology and hold the Certificate of Clinical Competence in SLP with a minimum of 5 years' experience and have experience in at least one of the following areas: speech sound disorders ...

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 ...

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Natural Language Processing Assistant Professor information

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$42.5K

$75.4K

$102K

How much do natural language processing assistant professor jobs pay per year?

As of Jun 8, 2026, the average yearly pay for natural language processing assistant professor in the United States is $75,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What is a Natural Language Processing Assistant Professor?

A Natural Language Processing (NLP) Assistant Professor is an academic professional who teaches and conducts research in the field of NLP, which involves making computers understand, interpret, and generate human language. They typically work at universities or research institutions, guiding students and contributing to advancements in language technologies such as machine translation, sentiment analysis, and chatbots. Their responsibilities include developing curriculum, publishing research, securing funding, and mentoring students in NLP-related topics.

What are some common challenges faced by a Natural Language Processing Assistant Professor in balancing research and teaching responsibilities?

As a Natural Language Processing Assistant Professor, one of the main challenges is effectively balancing time between conducting cutting-edge research and fulfilling teaching obligations. Managing grant applications, mentoring graduate students, preparing course materials, and staying current with rapid advancements in NLP can be demanding. Many professors find it helpful to integrate their research topics into their teaching, fostering a dynamic learning environment while advancing their own work. Collaboration with colleagues and clear time management strategies are essential for success and career progression in this role.

What are the key skills and qualifications needed to thrive as a Natural Language Processing Assistant Professor, and why are they important?

To thrive as a Natural Language Processing Assistant Professor, you need a Ph.D. in computer science, computational linguistics, or a related field, along with a strong research background in NLP and machine learning. Proficiency with programming languages (such as Python), NLP frameworks (like NLTK, spaCy, or Hugging Face), and experience publishing in top conferences are typically required. Excellent communication, mentorship, and collaboration skills help in teaching, supervising students, and contributing to academic communities. These skills are essential for advancing research, securing funding, and fostering student success in a rapidly evolving discipline.
Infographic showing various Natural Language Processing Assistant Professor job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Temporary. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $75,371 per year, or $36.2 per hour.

Natural Language Processing and Large Language Models Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY

Full-time

Posted 21 days ago

Job description

Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models

Position Overview:

Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.

Key Responsibilities:

  1. Develop, and transition from concept to a functional prototype and final NLP or LLM product.
  2. Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives.
  3. Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
  4. Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

Qualifications & Experience:

  1. Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM.
  2. Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar.
  3. Past roles or internships centered around NLP, LLM, or related linguistic computational models.
  4. A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges.
  5. Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar.
  6. Familiarity with cloud ecosystems and managing multi-machine configurations.
  7. Active involvement in the open-source linguistic community.

Apply