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Contractual Natural Language Processing Jobs in Virginia

SAIC

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Conduct sophisticated analysis using deployed tools and natural language processing (NLP). * Analyze large amounts of raw data, including text data, to provide business insights. * Preprocess or ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge ...

Orchard

Data Scientist - Mid-Level

Reston, VA · On-site

... Natural Language Processing (NLP) to include new entities and improved visualization. • Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate ...

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

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

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

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

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

Kepora

Data Scientist

Mclean, VA

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

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Contractual Natural Language Processing information

What are some typical challenges faced by professionals working in contractual Natural Language Processing (NLP) roles?

Professionals in contractual NLP roles often encounter challenges such as quickly adapting to new project requirements, managing tight deadlines, and working with limited access to proprietary data or tools. Since contract positions may involve collaborating remotely with diverse teams, effective communication and self-motivation are crucial. Additionally, staying updated with the latest NLP techniques and ensuring high-quality deliverables despite project constraints are ongoing expectations. Successful contractors are proactive in clarifying client needs and flexible in adjusting to evolving priorities.

Will AI replace NLP?

As a Contractual Natural Language Processing professional, AI is designed to augment and automate aspects of NLP work rather than fully replace human expertise. While AI tools can handle large-scale data processing and pattern recognition, human oversight remains essential for tasks requiring nuanced understanding, creativity, and ethical judgment. Continuous skill development in AI and NLP tools is important for staying relevant in this evolving field.

What is a Contractual Natural Language Processing specialist?

A Contractual Natural Language Processing (NLP) specialist is a professional who works on short-term or project-based contracts to develop, implement, and optimize systems that allow computers to understand and process human language. Their responsibilities often include building chatbots, developing text analytics tools, and improving machine translation systems. Unlike full-time employees, contractual NLP specialists typically work for a specific duration or on particular projects, offering flexibility to both employers and professionals. They usually possess expertise in linguistics, programming, and machine learning.

What are the key skills and qualifications needed to thrive as a Contractual Natural Language Processing (NLP) Specialist, and why are they important?

To thrive as a Contractual Natural Language Processing (NLP) Specialist, you need a strong background in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree or equivalent experience. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, and experience with cloud computing platforms, are commonly required; certifications in data science or cloud technologies can also be beneficial. Exceptional problem-solving skills, adaptability, and effective communication help specialists collaborate with diverse teams and clearly convey complex findings. These competencies ensure that NLP solutions are robust, scalable, and aligned with client objectives in dynamic project-based environments.

Which 3 jobs will survive AI?

For a Contractual Natural Language Processing role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, data annotation experts, and domain-specific NLP consultants. These roles involve tasks that are difficult for AI to fully automate and often require specialized knowledge, critical thinking, and contextual understanding.

What jobs can you get with NLP certification?

With NLP certification, you can pursue roles such as Natural Language Processing Engineer, Data Scientist, Machine Learning Engineer, or NLP Researcher. These positions typically require skills in programming languages like Python, experience with NLP libraries such as NLTK or spaCy, and understanding of machine learning concepts.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What is the difference between Contractual Natural Language Processing vs Data Scientist?

AspectContractual Natural Language ProcessingData Scientist
CredentialsTypically requires degrees in linguistics, computer science, or related fields; certifications in NLP toolsRequires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentOften project-based, working with NLP teams or vendors on language-specific tasksIn-house or consulting roles analyzing data, building models, and deriving insights
Industry UsageCommon in tech, legal, healthcare, and customer service sectors for language processing tasksUsed across industries for data analysis, predictive modeling, and decision support

Contractual Natural Language Processing specialists focus on language-specific tasks often on a contractual basis, while Data Scientists analyze data broadly to inform business decisions. Both roles require technical skills but differ in focus and work environment.

What are the most commonly searched types of Natural Language Processing jobs in Virginia? The most popular types of Natural Language Processing jobs in Virginia are:
What are popular job titles related to Contractual Natural Language Processing jobs in Virginia? For Contractual Natural Language Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contractual Natural Language Processing jobs in Virginia look for? The top searched job categories for Contractual Natural Language Processing jobs in Virginia are:
What cities in Virginia are hiring for Contractual Natural Language Processing jobs? Cities in Virginia with the most Contractual Natural Language Processing job openings:
Contractual Natural Language Processing jobs near you
Infographic showing various Contractual Natural Language Processing job openings in Virginia as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Data Scientist

Data Scientist

SAIC

Mclean, VA • On-site

$200K - $240K/yr

Other

Posted 12 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

70th of 213 rated it services

Job description

Job ID: 2614424
Location: McLean, VA, US
Date Posted: 2026-07-09
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.
Key Responsibilities:
  • Work closely with data scientist and technical team to implement requirements.
  • Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
  • Analyze large amounts of raw data, including text data, to provide business insights.
  • Preprocess or clean structured and unstructured data, including text data.
  • Design and implement advanced ETL code and table configurations for complex data sets.
  • Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics.
  • Author analytic publications and produce ad-hoc reports to include data visualization.
  • Stay current with enterprise metadata collection tools.
  • Provide technical education to staff on an ad-hoc basis.
  • Provide subject matter expertise in natural language processing (NLP).

Qualifications
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
  • 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.
  • Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
  • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
  • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
  • 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.
  • Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
  • Demonstrated academic or professional experience communicating methodological choices and model results.
  • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
  • Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
  • Demonstrated experience leveraging GPUs for accelerated computing.
  • Developed practical approaches for measuring performance.
  • Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assisted in selection or development of appropriate methodology to conduct research.
  • Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
  • TS/SCI with polygraph.

Desired Skills:
  • Experience writing Python scripts that pull data from web-based APIs and relational databases.
  • Experience with cloud computing development and architecture.
  • Demonstrated experience with front-end web development frameworks such as Flask.
  • Demonstrated experience developing applications for semantic search.
  • Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
  • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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