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Remote Large Language Model Llm Jobs in West Virginia

GDIT

AI/ML Delivery Engineer

WV · On-site +1

... search, large language model (LLM) applications, workflow automation, model serving, evaluation ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Quora

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Anthropic

Research Operations, External Artifacts

Friendly, WV · On-site +1

$84K - $99K/yr

Working conceptual knowledge of large language models, with fluency in terms like pretraining, RLHF ... Comfort using frontier LLM tools as a productivity aid without substituting them for independent ...

AmeriSave Mortgage Corp.

$120K - $140K/yr

... by Large Language Models (LLMs) and Multilingual Language Models (MLMs). This is a high-impact ... This is a remote opportunity to work from home. What You'll Do: * Architect and implement robust ...

LTS

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Demonstrated experience developing production AI applications powered by Large Language Models ...

LTS

Agentic AI Security Engineer

Charleston, WV · Remote

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Experience with Large Language Models (LLMs), AI applications, or Agentic AI platforms.

LTS

Senior Agentic AI Software Engineer

Charleston, WV · On-site +1

$113K - $149K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Hands-on experience developing applications powered by Large Language Models (LLMs) and Generative ...

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Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in West Virginia?

The most popular types of Large Language Model Llm jobs in West Virginia are:

What are popular job titles related to Remote Large Language Model Llm jobs in West Virginia?

For Remote Large Language Model Llm jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Large Language Model Llm jobs in West Virginia look for?

The top searched job categories for Remote Large Language Model Llm jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Large Language Model Llm jobs?

Cities in West Virginia with the most Remote Large Language Model Llm job openings:

Remote Large Language Model Llm jobs near you
Infographic showing various Remote Large Language Model Llm job openings in West Virginia as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 35% Physical, 4% Hybrid, and 61% Remote job distribution.

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 15 days ago

Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.