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Natural Language Understanding Jobs (NOW HIRING)

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Amazon

Applied Scientist, Core Search

Seattle, WA

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 ...

Amazon

Applied Scientist, Core Search

Seattle, WA · On-site

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 ...

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Natural Language Understanding information

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$24.5K

$104.1K

$189.5K

How much do natural language understanding jobs pay per year?

As of Jul 14, 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.

What are the jobs in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Computational Linguist, and Machine Learning Engineer. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with NLP tools and frameworks like Python, TensorFlow, or spaCy.

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. It offers opportunities for innovation, research, and specialization, making it a promising career choice for those interested in AI and language technologies.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Natural Language Understanding specialists, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but overall, ML jobs are considered well-compensated within the tech field.

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.

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.

Does NLP pay well?

Natural Language Understanding roles are generally well-paying within the AI and data science fields, with salaries often reflecting expertise in machine learning, linguistics, and programming skills. Entry-level positions may start lower, but experienced professionals with specialized skills can earn competitive salaries, especially in tech hubs or with advanced certifications.

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
What job categories do people searching Natural Language Understanding jobs look for? The top searched job categories for Natural Language Understanding jobs are:
Natural Language Understanding jobs near you
Sr. Analyst, Conversational Natural Language Understanding

Sr. Analyst, Conversational Natural Language Understanding

Walgreens

Deerfield, IL • On-site

$79K - $127K/yr

Full-time

Posted 6 days ago

Walgreens rating

5.5

Company rating: 5.5 out of 10

Based on 2,148 frontline employees who took The Breakroom Quiz

91st of 104 rated pharmacies

Job description


Job Summary:
Responsible for optimizing Pharmacy and Retail customer operations, automated voice and messaging assistant (chatbot) and ongoing Natural Language Understanding (NLU) training on chat/IVR bots to ensure improved intelligence and a frictionless user experience. Contributes to creating natural language processing systems focusing on conversational technology, dialogue systems and chatbot technology. Develops requirements for process or system solutions within an assigned business domain(s) by interfacing with stakeholders and IT teams (for example, Solutions Delivery, Infrastructure, Enterprise Architecture). Conducts ongoing analysis of chatbot performance to provide process optimization recommendations, strategy development, industry trends, competitive analysis, and company positioning that deliver and exceed our users Key Performance Indicators (KPIs).
Job Responsibilities:
  • Collects, analyzes, makes specific recommendations, and presents information pertaining to proposed programs to meet the business and strategic goals of Pharmacy and Retail Operations and the company.
  • Responsible for developing and documentation of comprehensive business cases, reports and tools to assess the costs, benefits, ROI, and Total Cost of Ownership (TCO) of proposed solutions.
  • Communicates relevant project information and influences stakeholders, both corporately and in the field using visualization techniques (Visio, Excel or PowerBI).
  • Serves as point of contact for various projects (such as Chatbot, Voice recognition phone system, reporting and analytics, etc.) to drive project execution.
  • Collaborates and builds trust with relationships across Pharmacy and Retail Operations, IT, Legal and regulatory, process improvement teams, to develop operational solutions.
  • Coaches, mentors, guides, and provides oversight to less senior Business Analysts.
  • Maintains and ensures knowledge of best practices in designing/developing user centric omnichannel conversational experiences involving chat, text or voice.
  • Responsible for system related configuration (such as Intents, Entities, Events, Context).

About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
External Basic Qualifications
  • Bachelor's degree and at least 1 years of experience with analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions OR High School/ GED and at least 4 years of experience with analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
  • At least 1 year of experience querying databases (for example: SQL, Golden, Business Objects, EDW, SAS and/or SQL Server).
  • Experience in identifying operational issues and recommending and implementing strategies to resolve issues and problems.
  • Experience communicating the impact of business analysis results to business leaders with a proven capability for public speaking, professional writing, and active listening.
  • Experience identifying and describing trends and provide insight on future offerings.
  • Intermediate level skill in Microsoft Suite (MS Word, Excel, PowerPoint).
  • Willing to travel up to/at least 10% of the time for business purposes (within state and out of state).

Preferred Qualifications
  • Master's Degree with 2 or more years' experience in Computer Science, Linguistics, Speech Recognition and Processing or a related field
  • Bachelor's Degree with 5 or more years' experience in Computer Science or related field.
  • Retail Pharmacy Experience.
We will consider employment of qualified applicants with arrest and conviction records.
The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits

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