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Nlp Government Jobs (NOW HIRING)

INSPYR Solutions

Sr Data Scientist

Windsor Mill, MD · On-site

Develop, test, and deploy NLP and Generative AI solutions using Large Language Models (LLMs ... Experience supporting federal or state government IT projects * Experience with semantic search ...

WGU

Senior Machine Learning Engineer

Raleigh, NC

$157K - $243K/yr

... government, and media leaders. Whatever your role, working for WGU gives you a part to play in ... Define NLP initiatives, roadmaps, and success metrics in collaboration with the MLE manager.

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model ...

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Nlp Government information

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$37.5K

$122.7K

$196.5K

How much do nlp government jobs pay per year?

As of Jun 16, 2026, the average yearly pay for nlp government 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 are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Specialist in government, and why are they important?

To thrive as an NLP Specialist in government, you need strong skills in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree in computer science or data science. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, as well as experience with cloud platforms and data security certifications, are commonly required. Outstanding analytical thinking, problem-solving, and communication skills help in interpreting complex data and collaborating with stakeholders. These competencies are vital for developing secure, effective language solutions that address public sector challenges and support informed policy decisions.

What jobs can you get with NLP certification?

With an NLP certification, you can pursue roles such as Natural Language Processing Engineer, Data Scientist, Machine Learning Engineer, or NLP Researcher. These positions typically involve developing algorithms, working with large language models, and utilizing tools like Python and TensorFlow in AI and data analysis environments.

What are NLP Government jobs?

NLP Government jobs refer to roles within government agencies or institutions that focus on natural language processing (NLP), a field of artificial intelligence that enables computers to understand, interpret, and generate human language. Professionals in these roles may work on projects like automating document analysis, enhancing public service chatbots, or extracting information from large volumes of text data. These positions often require expertise in machine learning, linguistics, and programming, and play a crucial role in improving government efficiency and public services through advanced language technologies.

Is NLP in high demand?

NLP (Natural Language Processing) professionals, including those in government roles, are in high demand due to the increasing use of AI and machine learning in data analysis, automation, and communication systems. Skills in programming languages like Python, along with experience with NLP tools and frameworks, enhance job prospects in this field.

What jobs pay $2000 a day?

High-paying roles related to NLP government work, such as senior data scientists, machine learning engineers, or AI consultants, can sometimes earn $2000 or more per day, especially when working on specialized projects or consulting contracts. These positions typically require advanced skills in natural language processing, extensive experience, and often involve contract or freelance arrangements with high hourly or daily rates.

Which 5 jobs will survive AI?

NLP government roles, such as policy analysts and regulatory specialists, are likely to persist as they require human judgment, understanding of legal frameworks, and ethical considerations that AI cannot fully replicate. Jobs involving complex decision-making, strategic planning, and interpersonal communication—like project managers, legal advisors, and cybersecurity professionals—are also expected to remain in demand. These roles often require specialized knowledge, critical thinking, and adaptability that AI tools support but do not replace entirely.

How does a Natural Language Processing (NLP) specialist typically collaborate with other teams in a government setting?

In a government environment, NLP specialists often work closely with data analysts, policy makers, IT professionals, and legal teams. Collaboration usually involves understanding the specific needs of each department, such as automating document analysis, extracting insights from public feedback, or ensuring compliance with data privacy regulations. Regular meetings and cross-functional projects are common, where NLP experts provide technical guidance and help tailor solutions to governmental objectives. This teamwork ensures that NLP solutions are accurate, secure, and aligned with the agency's mission.
Infographic showing various Nlp Government job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Sr Data Scientist

Sr Data Scientist

INSPYR Solutions

Windsor Mill, MD • On-site

Other

Posted 19 days ago

Job description

Senior Data Scientist

Location: Windsor Mill, MD
Work Schedule: 100% Onsite
Position Type: Contract

Position Overview

We are seeking a highly skilled Senior Data Scientist with deep expertise in AI/ML, Natural Language Processing (NLP), and Large Language Models (LLMs). This role will focus on developing scalable machine learning solutions, building NLP pipelines, analyzing complex datasets, and deploying cloud-native AI applications in a fast-paced environment.

The ideal candidate will have strong Python programming skills, hands-on experience with modern NLP frameworks, and a proven ability to develop and operationalize machine learning models and generative AI solutions.

Key Responsibilities
  • Develop, test, and deploy NLP and Generative AI solutions using Large Language Models (LLMs)
  • Build scalable Python-based ML and NLP pipelines
  • Analyze transactional and trend-based datasets using SQL and data science methodologies
  • Design cloud-native AI/ML solutions within AWS environments
  • Train, optimize, and evaluate supervised and unsupervised machine learning models
  • Collaborate with analysts and stakeholders to identify business challenges and recommend data-driven solutions
  • Provide advanced analytical support and deliver actionable insights from large datasets
  • Support scalable deployment and operationalization of ML, MLOps, and LLMOps solutions
  • Work with cross-functional teams to improve data quality, automation, and analytics capabilities
Required Qualifications
  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, Information Science, or related field
  • 10+ years of overall IT industry experience
  • Strong hands-on experience with:
    • Python
    • SQL
    • Pandas
    • NLTK
    • spaCy
    • NLP frameworks
    • Generative AI and Large Language Models (LLMs)
  • Experience building cloud-native solutions on AWS
  • Strong understanding of machine learning frameworks and libraries including TensorFlow, PyTorch, scikit-learn, and NumPy
  • Experience with version control tools such as Git
  • Experience with data engineering and orchestration frameworks such as Apache Spark and Airflow
  • Experience deploying and maintaining ML models using DevOps, MLOps, or LLMOps methodologies
  • Ability to clean, process, and analyze large real-world datasets
  • Experience working with databases such as Oracle, SQL Server, PostgreSQL, MySQL, SQLite, Hadoop, and flat files
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently in a fast-paced environment
Preferred Qualifications
  • Master’s degree in a related field
  • Experience supporting federal or state government IT projects
  • Experience with semantic search technologies
  • Familiarity with Hadoop ecosystem tools such as Spark, Hive, and Impala
  • Experience in analytical research environments
  • Experience with GPU programming using CUDA
  • Experience with Mathematica
  • Familiarity with markup languages such as LaTeX and HTML
  • Experience using NLP techniques for anomaly detection
Ideal Candidate

The ideal candidate is a self-starter who can operate independently while collaborating effectively across teams. This person should be passionate about AI/ML innovation, comfortable working with large-scale datasets, and capable of delivering scalable, production-ready solutions.

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About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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