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Natural Language Processing Jobs in Delaware (NOW HIRING)

Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models. * Interest in AI agentic systems, including areas ...

Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models. * Interest in AI agentic systems, including areas ...

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Natural Language Processing information

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$14

$25

$48

How much do natural language processing jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for natural language processing in Delaware is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.62 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are popular job titles related to Natural Language Processing jobs in Delaware? For Natural Language Processing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Delaware look for? The top searched job categories for Natural Language Processing jobs in Delaware are:
What cities in Delaware are hiring for Natural Language Processing jobs? Cities in Delaware with the most Natural Language Processing job openings:
Infographic showing various Natural Language Processing job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $53,032 per year, or $25.5 per hour.
Data Owner Lead-Vice President

Data Owner Lead-Vice President

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

61st of 150 rated banks


Job description

Be a key driver of innovation, collaborating across business and technology to shape data strategies that power smarter decisions, operational excellence, and a thriving data-driven culture!

As a Data Owner Lead on the Digital Data Owner Team, you will help the firm's agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality and well-protected.You'll be responsible for all customer application and account opening data that is created, published to the data lake, or consumed for advanced analytics or AI/ML use cases.You will serve as a subject matter expert to help define and classify data critical to their product, lead change management from legacy to modernized data, and collaborate with technology and business partners to execute on data requirements. Additionally, you'll identify, monitor, and mitigate data risks throughout the data life cycle, and simplify the work involved in getting data generation to conversion to dashboards, models, and natural language queries. 

Job responsibilities: 

  • Document data requirements for your product, coordinate with technology to get the data created, and business partners to manage change from legacy data to modernized data 
  • Model the data with long term vision to enable efficient querying, natural language querying, and use in LLMs; utilize business data dictionary and business metadata from tech and product teams in describing the data in simple understandable terms  
  • Develop ideas for data products by understanding analytics needs and pain points; create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets 
  • Develop proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to rollout the capability to business users 
  • Support the team in building the backlog, grooming initiatives, and creating user stories to lead data engineering scrum teams to publish new data and create data products 
  • Manage direct or matrixed staff to execute data-related tasks 

Required qualifications, capabilities, and skills: 

  • Bachelor's degree in a applicable STEM field
  • 5+ years working experience data modeling for relational, NoSQL, and graph databases  
  • Ability to generates advanced data models using firmwide tooling and designing for high performance querying/reporting 
  • Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions 
  • Experience with natural language processing, machine learning and deep learning toolkits  (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) 
  • Open data standards, data taxonomy and vocabularies, metadata management 
  • Able to balance short-term goals and long-term vision in highly complex environments 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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