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Natural Language Processing Nlp Phd Jobs (NOW HIRING)

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AI Solution Engineer

Vancouver, WA

$130K - $205K/yr

This role will leverage technologies such as Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI to create ...

Hewlett Packard Enterprise

$130K - $205K/yr

This role will leverage technologies such as Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, Computer Vision, and Edge AI to create ...

Soteria Reinsurance Ltd.

WI · On-site

... using natural language processing (NLP), large language models (LLM), machine learning (ML ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

1872 Consulting

NLP Developer

Herndon, VA · On-site

... in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the ... NLP research into production models. • Provide insight into methods that use NLP to further ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

Soteria Reinsurance Ltd.

... using natural language processing (NLP), large language models (LLM), machine learning (ML ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

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How much do natural language processing nlp phd jobs pay per year?

As of Sep 10, 2026, the average yearly pay for natural language processing nlp phd in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a natural language processing NLP PhD?

A Natural Language Processing (NLP) PhD is a doctoral degree focused on the study and advancement of computational techniques that enable computers to understand, interpret, and generate human language. It involves research in areas such as machine learning, linguistics, artificial intelligence, and computer science. Graduates typically contribute to innovations in speech recognition, machine translation, sentiment analysis, and dialogue systems. The program usually requires original research, coursework, and the completion of a dissertation. Careers for NLP PhDs are available in academia, tech industry research labs, and companies specializing in AI-driven products.

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

To thrive as an NLP PhD, you need deep expertise in computational linguistics, machine learning, and statistics, typically supported by a doctorate in computer science, linguistics, or a related field. Proficiency with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Hugging Face), and familiarity with deep learning frameworks (e.g., TensorFlow or PyTorch) are essential. Strong analytical thinking, research communication, and collaboration skills make candidates stand out. These abilities are crucial for driving innovation, publishing impactful research, and developing advanced language technologies.

What types of cross-functional teams do NLP PhDs typically collaborate with in industry settings?

NLP PhDs often work closely with data scientists, software engineers, product managers, and UX researchers to develop and deploy language technologies. Collaboration may include refining data pipelines, optimizing machine learning models, translating research into production-ready code, and aligning solutions with user needs or business goals. This multidisciplinary teamwork not only accelerates innovation but also broadens your perspective and skill set, helping you grow both technically and professionally.

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

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

Infographic showing various Natural Language Processing Nlp Phd job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

GenAI Business Analyst

Chicago, IL • On-site

Conch Technologies Inc
IT Services • 51 - 200 employees
Learn more about Conch Technologies Incexternal

Contractor

Re-posted 2 days ago

Job description

Hi,
Greetings from Conch Technologies
Position: GenAI Business Analyst
Location: 1-2x week onsite – Downtown Chicago, IL
Duration: 12+ Months
 

Required Qualifications

  • 3+ years of Business Analyst experience supporting customer-facing technology solutions.
  • Experience working with IVR, Conversational AI, chatbot, voicebot, contact center, or customer experience platforms.
  • Strong requirements gathering, documentation, and stakeholder management skills.
  • Experience creating user stories, process flows, journey maps, and functional specifications.
  • Understanding of customer experience (CX) principles and self-service technologies.
  • Experience working within Agile/Scrum environments.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience supporting Conversational AI platforms such as Amazon Lex, Dialogflow, NLX, IBM Watson Assistant, Microsoft Bot Framework, Rasa, or similar technologies.
  • Exposure to Generative AI, Large Language Models (LLMs), AI Assistants, and intelligent automation initiatives.
  • Familiarity with Natural Language Processing (NLP) concepts, including intent recognition, entity extraction, sentiment analysis, and conversational design.
  • Experience supporting contact center technologies, IVR modernization, or customer service transformation programs.
  • Exposure to AWS, Azure, or Google Cloud environments.
  • Basic understanding of chatbot analytics, conversational performance metrics, and AI model evaluation.

Technical Environment

  • Conversational AI Platforms
  • IVR Technologies
  • Generative AI / LLM Solutions
  • Customer Experience (CX) Platforms
  • Natural Language Processing (NLP)
  • Jira / Confluence
  • Agile / Scrum Methodologies
  • AWS, Azure, or Google Cloud Environments
 
 

Thanks & Regards,

Ash | Ash@Conchtech.com

+1 901 444 3152