1

Natural Language Understanding Jobs (NOW HIRING)

Keyword-based search breaks down when confronted with natural language expressions. Queries like "I ... understanding that customers increasingly expect. Core Search team is reimagining search ...

Natural Language Understanding (NLU) & Generation (NLG): Implement, fine-tune, and optimize NLU models to improve intent accuracy, entity recognition, and overall comprehension. Develop effective and ...

Responsibilities • Implement state-of-the-art Large Language Models (LLMs) for natural language understanding and generation tasks • Design and optimize LLM architectures to improve performance ...

... Natural Language Understanding (NLU) implementation - Designing conversational flows and intents - Bot testing and optimization • AWS Expertise: - Proficiency in services like API Gateway, Lambda ...

IVR Lead/Architect

Charlotte, NC · On-site

$54 - $74/hr

Develop and optimize natural language understanding (NLU) and processing (NLP) models to improve accuracy and user intent identification. * Good to have knowledge in KORE AI as current IVRs are build ...

The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ...

next page

Showing results 1-20

Natural Language Understanding information

See salary details

$24.5K

$104.1K

$189.5K

How much do natural language understanding jobs pay per year?

As of Jun 24, 2026, the average yearly pay for natural language understanding in the United States is $104,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $145,500.00 per year, depending on experience, location, and employer.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing systems to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. The field offers opportunities for research, development, and application of innovative language technologies.

Is ML a high paying job?

Machine Learning (ML) roles, including positions in Natural Language Understanding, are generally well-paid due to high demand for specialized skills such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML jobs offer competitive compensation compared to other tech roles.

What are the key skills and qualifications needed to thrive as a Natural Language Understanding (NLU) Engineer, and why are they important?

To thrive as an NLU Engineer, you need a solid background in computational linguistics, machine learning, and programming (typically Python), often supported by a degree in computer science or a related field. Familiarity with NLP frameworks (like spaCy, NLTK, or Hugging Face), deep learning libraries (such as TensorFlow or PyTorch), and experience with large language models are commonly required. Strong analytical thinking, problem-solving skills, and effective collaboration set standout candidates apart. These skills and qualities are crucial for developing accurate, efficient NLU systems that interpret human language for real-world applications.

What are some common challenges faced by professionals working in Natural Language Understanding (NLU) roles?

Professionals in Natural Language Understanding often encounter challenges such as handling the ambiguity and complexity of human language, managing large and diverse datasets, and ensuring models accurately interpret context, sentiment, and intent. Collaborating closely with data scientists, linguists, and software engineers is essential to refine algorithms and improve model performance. Additionally, staying updated with rapid advancements in NLP research and integrating state-of-the-art models into production systems are ongoing aspects of the role.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and evolving field within artificial intelligence, with ongoing research and commercial applications. NLP specialists work with machine learning models, linguistic analysis, and tools like Python and TensorFlow to develop language understanding systems, making it a viable career path.

What jobs are there in NLP?

Jobs in NLP include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, and Computational Linguist. These positions involve developing algorithms, models, and tools to process and understand human language, often requiring skills in programming, machine learning, and linguistics. Professionals typically work in research, product development, or data analysis environments and may need familiarity with tools like Python, TensorFlow, or spaCy.

What is Natural Language Understanding (NLU)?

Natural Language Understanding (NLU) is a subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a meaningful way. NLU involves processing text or speech input to extract intent, meaning, and context, which allows machines to interact with people naturally. It is commonly used in applications like virtual assistants, chatbots, and translation services to bridge the gap between human communication and computer interpretation.

What is the difference between Natural Language Understanding vs Natural Language Processing?

AspectNatural Language UnderstandingNatural Language Processing
FocusInterpreting and comprehending human languageProcessing and analyzing language data
Skills & CertificationsMachine learning, linguistics, AI certificationsData analysis, programming, NLP tools
Work EnvironmentAI research, tech companies, NLP development teamsData science, software development, AI projects

Natural Language Understanding (NLU) focuses on interpreting the meaning behind human language, enabling machines to comprehend context and intent. In contrast, Natural Language Processing (NLP) encompasses a broader set of techniques for processing, analyzing, and manipulating language data. While NLU is a subset of NLP, both roles often overlap in AI and language technology fields, but NLU emphasizes understanding, whereas NLP includes processing and generation tasks.

More about Natural Language Understanding jobs
Infographic showing various Natural Language Understanding job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $104,067 per year, or $50 per hour.
IVA and Digital Platform Developer

IVA and Digital Platform Developer

Astound

Mountain Top, PA • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

A Day in the Life of the IVA and Digital Platform Developer:
  • Design and Development: Lead the end-to-end development of Interactive Virtual Assistant (IVA) Digital/chat solutions, including intent recognition, entity extraction, dialogue flow management, API Connections and sophisticated response generation, specifically focusing on building robust Conversational AI experiences.

  • Platform Expertise: Leverage and master IVA/Digital development platforms (e.g., Kore.ai, Google Dialogflow, Amazon Lex, Microsoft Bot Framework) to build, configure, train, and deploy high-performing conversational agents. Platforms are not limited to what is outlined.

  • System Integration: Integrate IVA/Digital seamlessly with API Connections to various backend systems, utilizing REST and SOAP Web Services for robust functionality, efficient data exchange, and a unified user experience across different platforms.

  • Natural Language Understanding (NLU) & Generation (NLG): Implement, fine-tune, and optimize NLU models to improve intent accuracy, entity recognition, and overall comprehension. Develop effective and natural-sounding NLG templates and strategies for engaging responses, potentially leveraging Small Language Models (SLMs) for specialized tasks.

  • Data Handling: Work with data formats like JSON and integrate with databases such as SQL / Oracle / Redis / MongoDB for efficient data storage and retrieval.

  • Development and organization of data, technology information and/or metrics to be delivered to audiences, including but not limited to upper management, team members, and vendor partners

  • UAT/QA Testing & Quality Assurance: Conduct rigorous testing, debugging, and performance tuning of IVA/Digital applications across various scenarios and channels. Identify and resolve complex issues, ensuring high availability and reliability.

  • Data Analysis & Continuous Improvement: Analyze conversation logs, user interactions, and feedback data to identify patterns, pain points, and opportunities for improvement. Proactively refine dialogue flows, add new intents, and enhance IVA capabilities based on data-driven insights.

  • Cross-functional Collaboration: Collaborate closely with product managers to translate business requirements into technical specifications and contribute to the product roadmap for our Conversational AI initiatives. Partner with UX/UI designers to ensure intuitive and user-friendly conversational interfaces. Work with data scientists to leverage advanced AI/ML models.

  • Research & Innovation: Stay up to date on the latest advancements, trends, and best practices in Conversational AI, NLP, machine learning, and related emerging technologies, including the application of SLMs and other innovative models. Research and recommend the adoption of new tools and techniques where beneficial to our IVA/Digital solutions.

  • Travel required up to 25%

  • Other duties as assigned


What You Bring to the Table:

  • Education: Bachelor's degree in Computer Science, Artificial Intelligence, Linguistics, Data Science, or a related quantitative field. Equivalent practical experience will also be considered.

  • Experience on a Conversational AI Platform.

  • Experience to Generative AI (Gen AI) and its concepts, specifically with conversational AI Products.

  • Experience to Natural Language

  • Experience with Node.js as a backend technology for chatbot development.

  • Experience with REST and SOAP Web Services

  • Experience in Design and Solution Architecture for creating chatbots & voicebots.

  • Minimum of 3+ years of professional experience in developing and deploying IVR/Digital, Voicebots, Chatbots, or Conversational AI solutions.

  • Strong knowledge of Web Services using REST and SOAP.

  • Strong expertise in Java, Python, and Node.js.

  • Proficiency in data formats, specifically JSON.

  • Experience with SQL databases and NoSQL such as Redis / MongoDB.

  • Solid theoretical and practical understanding of Natural Language Processing (NLP) and Natural Language Understanding (NLU) concepts, including intent classification, entity extraction, and dialogue management, within the context of Conversational AI.

  • Excellent analytical, critical thinking, and complex problem-solving skills with a meticulous attention to detail.

  • Strong verbal and written communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders.

  • Proven ability to work effectively in a collaborative team environment.

  • Demonstrated experience working with Small Language Models (SLMs) for specific conversational tasks or optimizations.

  • Ability to travel up to 25%

We're Proud to Offer a Comprehensive Benefits Package Including:

  • 401k retirement plan, with employer match

  • Insurance options including: medical, dental, vision, life and STD insurance

  • Paid Time Off/Vacation: Starting at 80 hours per year, and increases based on tenure with the organization

  • Floating Holiday: 40 hours per year

  • Paid Holidays: 7 days per year

  • Paid Sick Leave: Astound allows a number of paid sick hours per calendar year and varies based on state and/or local laws

  • Tuition reimbursement program

  • Employee discount program

*Benefits listed above are for regular full-time position

Base Salary: The base salary range in Pennsylvania and Texas for this position is $70,000 - $80,000 (annually), plus opportunities for bonus, benefits and commission, if applicable. The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities. It is specific to Pennsylvania and Texas and may not be applicable to other locations.

Our Mission Statement:

* Take care of our customers

* Take care of each other

* Do what we say we are going to do

* Have fun

Astound is proud to be an Equal Opportunity Employer, and we are dedicated to cultivating an inclusive workplace where employees feel valued, respected, and empowered.  Discrimination of any kind has no place here.  We are committed to providing equal opportunities for all employees and applicants, regardless of race, color, religion, sex, gender, pregnancy, childbirth and related conditions, national origin, age, physical and mental disability, marital status, sexual orientation, genetic information, military or veteran status, citizenship, or other status or characteristic protected by applicable law. We strive to create a culture that celebrates our differences and promotes fairness and inclusivity in all aspects of our business.

About Astound:

Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology.  We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping organizations thrive in an increasingly connected world.

At the forefront of digital transformation, we continuously evolve our offerings to meet the dynamic needs of our customers—delivering reliable connectivity and groundbreaking digital experiences.

Our commitment to excellence extends beyond infrastructure. We invest in our people through personalized training, coaching, and a supportive work environment that fosters growth and opportunity. Employees are empowered to represent a superior telecommunications company while making a meaningful impact in the communities we serve.

We offer a robust benefits package that includes rewards, recognition programs, and employee discounts—ensuring our team members are supported in both their professional and personal journeys. At Astound, we believe in creating astounding possibilities for everyone, everywhere.