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Remote Natural Language Processing Jobs in Charleston, WV

InductiveHealth

Data Engineering Lead

Charleston, WV · Remote

$145K - $160K/yr

General exposure to or interest in AI-adjacent data patterns -- e.g., natural-language-to-data ... InductiveHealth offers competitive benefits and perks including: · Virtual first, remote ...

Lyra Health

Senior ML Engineer (ML/AI)

Charleston, WV · Remote

$143K - $197K/yr

In this role, you won't just train models in a sandbox--you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative ...

Intersect

Natural Gas Risk Manager

Charleston, WV · Remote

... remote culture. About This Role As part of Intersect's Market Risk team, you'll help shape how we ... Create scalable applications and automated processes that improve risk measurement, reporting, and ...

HHAeXchange

Sr. Product Manager - Data Insights

Charleston, WV · Remote

$129K - $170K/yr

This is a fully remote opportunity for candidates located in the EST or CST time zones within the ... Champion the use of AI-powered analytics, natural language querying, and generative AI capabilities ...

Virtuous

Lead Data Platform Engineer

Charleston, WV · Remote

$117K - $140K/yr

Design data models, metadata, and access patterns that support natural-language querying and AI ... Support periodic access reviews and control validation processes in coordination with Security and ...

Virtuous

General Manager, CRM +

Charleston, WV · Remote

... fully remote candidates. About Virtuous CRM+ Virtuous CRM+ is the core fundraising and donor ... Partner with engineering to prioritize investment across core CRM capabilities, Natural Language ...

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Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

What are the key skills and qualifications needed to thrive as a remote natural language processing specialist, and why are they important?

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

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

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

Remote Natural Language Processing jobs near you

Web Developer with AI Experience

Tier4 Group

Charleston, WV • Remote

Contractor

Posted 15 days ago

Job description

Our client is looking for Web Developers with AI to develop and maintain fully functional and tested web applications.
This position is 100% REMOTE, 6 MONTH CONTRACT and due to the nature of the work US CITIZENSHIP is required.

Web Development Responsibilities:

  • Design, develop, and maintain responsive web applications using modern frameworks and technologies.
  • Implement user interfaces (UI) and user experiences (UX) that are intuitive and accessible.
  • Integrate backend services and APIs to support web application functionality.
  • Ensure cross-browser compatibility, performance optimization, and adherence to security best practices.

AI Integrations Development:

  • Build and integrate AI-powered features into web applications and enterprise tools (intelligent search, document generation, chat interfaces, automated workflows)
  • Work with LLMs, embeddings, vector search, RAG pipelines, and prompt engineering to deliver natural language experiences
  • Integrate with AI/ML APIs and SDKs
  • Build backend services in Python and/or Node.js supporting AI workloads including data preprocessing, embedding generation, model inference
  • Review and refine AI-generated code for production quality, security, and architectural consistency
  • Evaluate AI models and approaches based on cost, latency, accuracy, and use case fit

C# Developer Core Stack (Primary)

  • Backend: .NET Core / ASP.NET Core
  • Database: Microsoft SQL Server, PostgreSQL
  • Frontend: Blazor, React, or Angular
  • Cloud C Mobile: Microsoft Azure, .NET MAUI
  • DevOps CI/CD: Azure DevOps, Kubernetes, Docker

Python Developer Core Stack

  • Backend: Python libraries and FastAPI
  • Database: PostgreSQL, MySQL, MongoDB
  • LLM: Hugging Face Transformers, OpenAI API
  • Embeddings: FAISS, SentenceTransformers
  • Data Processing: NumPy, Pandas
  • Deep Learning: PyTorch, TensorFlow

General Responsibilities:

  • Participate in on-call rotation to maintain the ticket queue.
  • Collaborate with cross-functional teams to gather requirements and deliver solutions aligned with business goals.
  • Write clean, maintainable, and well-documented code.
  • Perform debugging, testing, and deployment of developed solutions.
  • Stay updated with emerging technologies and best practices in web development and AI.

Deliverables:

  • Develop and maintain fully functional and tested web applications
  • Integrate AI capabilities to enhance performance and features.
  • Utilize DevOps pipelines and Azure cloud services for efficient deployment and management.
  • Documentation for developed features, APIs, and AI models.
  • Deployment-ready solutions with clear instructions for maintenance and scalability.