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Contractual Natural Language Processing Jobs in Virginia

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

... learning, natural language processing, generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... Natural Language Processing * A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems * Due to contractual requirements, only US ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Natural Language Processing * A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems * Due to contractual requirements, only US ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Natural Language Processing * A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems * Due to contractual requirements, only US ...

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms * Ability to develop persistent monitoring applications for ...

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

Data Scientist

Mclean, VA · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Natural Language Processing (NLP) to analyze unstructured text and the integration of AI/ML platforms (e.g., AWS SageMaker, Azure Machine Learning) * Automate infrastructure and workflows using ...

Showing results 21-40

Contractual Natural Language Processing information

What are some typical challenges faced by professionals working in contractual natural language processing 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.

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 specialist?

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.

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.

Is contractual natural language processing in demand?

Contractual natural language processing roles are in demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in NLP tools like Python, TensorFlow, and data annotation are highly valued, and the field offers opportunities for contract-based and project-specific work.

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:

Infographic showing various Contractual Natural Language Processing job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Full-time

Posted 18 days ago


Job description

Summary

All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the Analytic team in developing machine learning models, preparing and analyzing data, and applying natural language processing to unstructured datasets. It is an excellent opportunity for an emerging data scientist to grow within a high-impact federal mission environment. This is for proposed work, and any offer of employment would be contingent upon award.

 

Essential Functions

  • Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
  • Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data.
  • Improve and expand existing entity extraction processes, incorporating new entities and models to improve analytic outcomes.
  • Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
  • Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
  • Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
  • Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.

 

Competencies

  • 2+ years of experience with an analytical or statistical language such as Python, R, or SQL.
  • Exposure to machine learning concepts, including model training and evaluation.
  • Experience working with structured and unstructured data.
  • Familiarity with data visualization tools.
  • Ability to work collaboratively in an Agile development environment.

Supervisory Responsibility

None for this position

 

Physical Demands 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • Must be able to remain in a stationary position 75% of the time.
  • Occasionally moves about inside the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
  • Expresses or exchanges ideas by means of the spoken word.  Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
  • Frequently moves standard office equipment up to 25 pounds.
  • Must be able to work indoor conditions 90% of the time.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Position Type/Expected Hours of Work

This is a full-time position with flexible hours based on mission requirements. 

Travel

No travel is expected for this position. 

Experience

Education

Bachelor's degree in data science or a related quantitative field with coursework or project experience in natural language processing or machine learning. Experience can be considered in lieu of education,

Drug Free Workplace

All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group.

Security Clearance

Active secret clearance required

AAP/EEO Statement 

All Native Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. However, preference may be extended to persons of Indian descent in accordance with applicable laws.

About Ho-Chunk, Inc. & All Native Group

Ho-Chunk, Inc. is an award-winning economic development corporation of the Winnebago Tribe of Nebraska. Our mission is to provide long-term economic development for the Winnebago Tribe and job opportunities for Tribal members.

All Native Group is a network of small businesses that support the critical missions of various U.S. Government customers. Our capabilities include telecommunications, health, logistics, specialized training, professional services, and IT solutions. Since earning our first federal contract in 2004, we have continued to grow and diversify our services while maintaining a strong commitment to excellence. As a tribally owned organization, All Native Group operates multiple subsidiary businesses, providing clients with the advantages of working with a small business while leveraging the resources and expertise of a larger, established company. Our work is guided by our core NATIVE values:

  • Native American Owned & Proud - Serving the Winnebago Tribe of Nebraska.
  • Accountable - To always do what's right.
  • Team-Focused - For inclusive progress.
  • Innovative - In creating solutions.
  • Visionary - In our purpose and direction.
  • Excellence - Through learning and performance.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Employment Type: FULL_TIME