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Natural Language Processing Jobs in Frederick, MD

The Sponsor requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor’s customers. The ...

... with Natural Language Processing techniques. 4. • Demonstrated experience with AWS Services and Cloud based development. 5. • Demonstrated experience working with REST services. 6. • ...

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Natural Language Processing information

See Frederick, MD salary details

$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 Frederick, MD is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $29.38 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 Frederick, MD? For Natural Language Processing jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Frederick, MD look for? The top searched job categories for Natural Language Processing jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Natural Language Processing jobs? Cities near Frederick, MD with the most Natural Language Processing job openings:
Infographic showing various Natural Language Processing job openings in Frederick, MD as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $52,683 per year, or $25.3 per hour.
Data Scientist

Data Scientist

Kepora

Potomac, MD

Full-time

Posted 9 days ago


Job description

🔒 Clearance & Citizenship Requirements

This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph. Candidates who do not currently hold these credentials will not be considered.


Description:
The maximum number of FTEs is two (2). Actual FTE bid, labor category, and skill level is at the discretion of the Contractor.
INTRODUCTION:
The Sponsor provides data-driven business analysis to support senior organizational leaders. The Sponsor requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor’s customers. The Sponsor needs experienced SQL and Python skills to transform the Sponsor’s structured and unstructured data into clear and supported analytic insights to help customers with decision making related to production, resources and personnel. The work may be performed independently or within a team environment.
WORK REQUIREMENTS:
Data Science Support – HRR: NO
The Contractor shall work closely with the Sponsor’s data scientists and technical team to implement requirements; however, the Sponsor’s GTM will manage the priorities.
• The Contractor shall conduct sophisticated analysis using deployed tools and natural language processing.
• The Contractor shall analyze large amounts of raw data, including text data, to provide business insights.
• The Contractor shall preprocess or clean structured and unstructured Sponsor data, including text data.
• The Contractor shall design and implement advanced ETL code and table configurations for complex data sets.
• The Contractor shall use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics.
• The Contractor shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor’s templates.
• The Contractor shall stay current with the Sponsor’s enterprise metadata collection tools.
• The Contractor shall implement the Sponsor’s existing coordination process.
• The Contractor shall provide technical education to staff on an ad-hoc basis.
• The Contractor shall provide subject matter expertise in NLP to support Sponsor’s initiatives
Required Skills:
1. Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
2. Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
3. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
4. Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
5. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
6. Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
7. Demonstrated academic or professional experience communicating methodological choices and model results.
8. Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
9. Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
10. Demonstrated experience leveraging GPUs for accelerated computing.
11. Develop practical approaches for measuring performance.
12. Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
13. Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
14. Assist in selection or development of appropriate methodology to conduct research.
15. Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Desired Skills:
1. Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
2. Demonstrated experience with cloud computing development and architecture
3. Demonstrated experience with front-end web development frameworks such as Flask.
4. Demonstrated experience developing applications for semantic search.
5. Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
6. Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.