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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 ...

Lead efforts to identify patterns and trends in conversational data through Natural Language Processing and/or other computational linguistic approaches * Collaborate with stakeholders on evaluating ...

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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 3, 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 June 2026, with employment types broken down into 6% Internship, 77% Full Time, 8% Part Time, and 9% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $53,032 per year, or $25.5 per hour.
Lead IT Specialist (Systems Analysis/Application Software)

Lead IT Specialist (Systems Analysis/Application Software)

US Department of the Treasury

Newark, DE • On-site, Remote

$125K/yr

Other

Posted yesterday


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

223rd of 668 rated public administrative organizations


Job description

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT - Taxpayer Services and Online Accounts
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
MINIMUM REQUIREMENTS: You must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.
GS-14 SPECIALIZED EXPERIENCE: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:

  • Leading or coordinating IT projects, application-related efforts, operational initiatives, or system-related activities that affect multiple users, teams, programs, or business processes.
  • Applying advanced IT principles, concepts, methods, and practices to evaluate requirements; resolve technical issues; guide system, application, or code testing and configuration decisions; and ensure technical documentation and federal cybersecurity, privacy, or regulatory requirements are addressed.
  • Engaging customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or improvement efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists on the selection, design, configuration, implementation, or improvement of IT solutions with organizational impact.
  • Planning and coordinating an agency-wide implementation of process improvement methods and concepts to improve the quality of software products; serving as the principal advocate within the agency/organization for the application of process improvement concepts and practices; and consulting with senior specialists and IT managers throughout the agency in the implementation of process improvement practices.
  • Leading teams that design and develop agency-wide applications which included review and approval of technical requirements for projects, developing project plans; providing guidance to team members and serving as primary liaison between customers and vendors and IT management throughout the development process.
  • Designing, developing, integrating, testing, and supporting conversational interfaces, virtual assistants, voice automation, or interactive voice response (IVR) solutions in a production environment.
  • Developing natural language processing (NLP), speech recognition, intent-based routing, conversational workflow, or automated self-service solutions for customer interactions.
  • Integrating voice or conversational platforms with enterprise applications, APIs, backend systems, authentication services, or customer data platforms.
  • Demonstrating subject matter expert (SME)-level proficiency in programming language such as Java or Python, including development of backend services, automation, integrations, or conversational application logic.
  • Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, or performance issues across interconnected platforms.
  • Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments.
AND
You must also meet the following requirement(s):
  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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