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Contractual Natural Language Processing Jobs in Washington

SAIC

Data Scientist

Mclean, VA · On-site +1

$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 ...

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 ...

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

... 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 ...

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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.
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Contractual Natural Language Processing jobs near you

ME00573-Data Scientist 3

Momentum Engineering, Inc

Fort George G Meade, MD • On-site

$135 - $180/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 11 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary
  • Seeking a Data Scientist to support the development of advanced Natural Language Processing (NLP) solutions focused on the automated processing and analysis of spoken and written language data
  • This role is responsible for building and improving models that accurately tokenize language data and annotate linguistic features, enabling scalable and high-quality language understanding capabilities
  • The position involves evaluating model performance against human-generated annotations to continuously enhance accuracy and effectiveness
Primary Responsibilities
  • Develop and implement NLP models to automatically tokenize language data from both spoken and written sources
  • Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features
  • Train, test, and validate machine learning models for language processing tasks
  • Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data
  • Process and analyze large volumes of structured and unstructured language data
  • Develop data pipelines to support ingestion, preprocessing, and transformation of linguistic datasets
  • Collaborate with cross-functional teams to integrate NLP models into production systems
  • Perform error analysis and model tuning to improve accuracy and robustness
  • Document methodologies, model performance, and data processing workflows
Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) and machine learning techniques
  • Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face, or similar)
  • Experience developing models for tokenization, text processing, and linguistic annotation
  • Experience working with speech and/or text data
  • Understanding of model evaluation techniques, including comparison to ground truth or human-labeled data
  • Strong analytical and problem-solving skills
Desired Qualifications
  • Experience with part-of-speech tagging and linguistic modeling
  • Experience working with multilingual or speech-based datasets
  • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience deploying NLP models in production environments
  • Knowledge of data pipelines and large-scale data processing

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

The pay range for this role is:

135,000 - 180,000 USD per year (Ft. Meade MD)

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