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Contractual Natural Language Processing Jobs in Virginia

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

Strong understanding of deep learning, natural language processing, and computer vision. Excellent problem-solving skills and ability to work independently and in a team environment. Preferred ...

All Native Group

Junior Data Scientist

Arlington, VA

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 ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

$70 - $95/hr

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 ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

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 ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

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 ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $200K/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 ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/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 ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $200K/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 ...

Integral Federal, Inc.

Data Scientist

Mclean, VA · On-site

$90 - $120/hr

... 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 ...

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All JobsContractual Natural Language Processing JobsContractual Natural Language Processing Jobs in Virginia

Contractual Natural Language Processing information

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 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 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 and project-based work with increasing job availability.

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 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.

GenAI Solution Architect - VA

Photon

Norfolk, VA • On-site

$61 - $80.25/hr

Full-time

Re-posted 16 days ago

Job description

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal candidate will have a deep understanding of language models, text-to-image, and other generative AI models. They must possess knowledge of Python, and machine learning frameworks. 

Responsibilities 

Develop and implement generative AI models, including LLMs, text-to-image and generative AI models. 

Train and evaluate models using large datasets. 

Troubleshoot and debug code to ensure high-quality results. 

Keep up to date with the latest developments in the field of generative AI and apply relevant new knowledge to the company's AI projects. 

Deep understanding of how to scale models and their limitations. Ability to quickly identify opportunities for model improvement 

Use predictive modeling to enhance and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. 

Collaborate with different teams to implement models and monitor outcomes. 

Develop processes and tools to monitor and analyze model performance and data accuracy. 

Lead all data experiments under the iterative testing framework. 

Engage with stakeholders to understand business challenges and develop data-driven solutions. 

Conduct advanced data analysis and design highly complex algorithmic models. 

Communicate complex quantitative analysis in a clear, precise, and actionable manner. 
 

Requirements 

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 

2+ years of experience in developing and training AI/ML models. 

Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R 

Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. 

Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS 

Experience with training and evaluating large-scale models on high-performance computing clusters. 

Strong understanding of deep learning, natural language processing, and computer vision. 

Excellent problem-solving skills and ability to work independently and in a team environment. 

Preferred Qualifications: 

Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML. 

Demonstrated experience in developing and training AI models  

Strong knowledge of deep learning, natural language processing, and computer vision. 

Experience with scaling up generative models and deploying them in production environments. 

Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. 

Apply