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Contractual Natural Language Processing Jobs in Washington

Natural Language Processing EngineerHerndon, VAAbout Us: We are looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of ...

Natural Language Processing EngineerHerndon, VAAbout Us: We are looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of ...

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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 popular job titles related to Contractual Natural Language Processing jobs in Washington?

For Contractual Natural Language Processing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Contractual Natural Language Processing jobs in Washington look for?

The top searched job categories for Contractual Natural Language Processing jobs in Washington are:

What cities in Washington are hiring for Contractual Natural Language Processing jobs?

Cities in Washington with the most Contractual Natural Language Processing job openings:

Senior Backend Engineer, Platform Services

BluJuniper, Inc.

Washington, DC • On-site

$110 - $145/hr

Other

Medical, Dental, Vision

Posted 17 days ago


Job description

BluJuniper is an AI and optimization company building advanced software systems for complex operational environments. Our work spans cloud native platforms, computer vision, natural language processing, data infrastructure, secure collaboration, and mission focused AI/ML applications.

We are looking for a Senior Backend Engineer to help build secure platform services for a computer vision and natural language processing application. This role will focus on backend services that support rules driven workflows, auditability, data modeling, authentication, customer onboarding, and controlled data exchange across the platform.

About the Role

As a Senior Backend Engineer, you will design and implement backend services that support secure, reliable, and queryable platform capabilities. You will work across microservices, messaging systems, data schemas, APIs, access control, and data sharing workflows.

This role is ideal for an engineer with strong experience in Go, C++, or a similar object oriented or lower level programming language who enjoys building production services, durable data models, and secure system to system integration patterns. Go will be the primary implementation language for this role.

Responsibilities
  • Design and develop backend services using Go, C++, or a similar object oriented or lower level programming language, with primary implementation in Go.
  • Build platform services that support configurable rules, workflow logic, auditability, and secure operational history.
  • Develop and maintain data schemas, domain models, event structures, persistence strategies, and data access patterns across backend systems.
  • Contribute to shared data exchange capabilities, including controlled data sharing workflows and cross environment integration patterns.
  • Design service to service communication patterns, API contracts, event flows, and integration points between distributed services.
  • Build backend infrastructure for authentication, authorization, role based access control, and customer onboarding workflows.
  • Build event driven systems using Apache Kafka or comparable messaging technologies.
  • Partner with product, frontend, AI/ML, DevOps, and security stakeholders to translate requirements into well structured backend services.
  • Improve system performance, scalability, reliability, and debuggability across production services.
  • Participate in design reviews, code reviews, implementation planning, and security reviews.
Required Qualifications
  • 5+ years of professional backend or systems engineering experience.
  • Strong proficiency in Go, C++, Java, Rust, or a similar object oriented or lower level programming language.
  • Experience designing and operating cloud based architectures on AWS, Azure, GCP, or similar cloud platforms.
  • Strong understanding of microservice architecture, service boundaries, API design, inter service communication, and distributed systems tradeoffs.
  • Experience with data modeling, schema design, relational and/or non relational databases, and long term data maintainability.
  • Experience with Apache Kafka, event driven architectures, message queues, or stream processing systems.
  • Experience designing authentication and authorization systems, including role based access control.
  • Experience building secure backend services that support structured data exchange, schema driven integrations, or controlled data sharing workflows.
  • Strong debugging and performance analysis skills in production backend systems.
Preferred Qualifications
  • Experience building rules engines, policy engines, workflow engines, audit services, or queryable event history systems.
  • Experience with schema registries, protobuf, Avro, JSON Schema, OpenTelemetry, PostgreSQL, OpenSearch, Elasticsearch, or similar technologies.
  • Experience building backend systems for real time collaboration, simulation, spatial platforms, command and control systems, or operational decision support tools.
  • Experience with Kubernetes, Docker, infrastructure as code, CI/CD, and modern DevOps practices.
  • Familiarity with secure software development practices, audit logging, secrets management, and least privilege access design.
  • Experience working in regulated, government, defense, or enterprise security environments.
  • Experience working with computer vision, natural language processing, or AI/ML teams.
Work Authorization and Clearance Eligibility

Candidates must be legally authorized to work in the United States. An active U.S. government security clearance is not required for this role. Candidates who currently hold, have previously held, or may be eligible to obtain and maintain a U.S. government security clearance are preferred. Certain customer, contract, or regulatory requirements may require additional eligibility verification.

  • Health, dental, and vision benefits for eligible employees.
  • Flexible work environment.
  • Opportunity to work on advanced computer vision, natural language processing, AI, optimization, and backend infrastructure problems.
  • High impact role with meaningful ownership over technical direction.
  • Collaborative team environment with direct visibility into product and company strategy.

BluJuniper is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable law.

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