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Remote Nvidia Machine Learning Jobs in Charleston, WV

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

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 ... Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software ...

SailPoint

Senior Forward Deployed Engineer

Charleston, WV · On-site +1

$96K - $132K/yr

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

Forward Deployed Engineer

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

SailPoint

FDE Team Lead and Architect

Charleston, WV · Remote

By harnessing the power of AI and machine learning, SailPoint automates and streamlines the ... Participate in onsite and remote foundationalimplementation engagements * Educatecustomers on high ...

Intersect

AI Solutions Architect

Charleston, WV · Remote

$64.50 - $85/hr

... remote culture. About This Role The AI Solutions Architect is responsible for shaping and executing ... Architect end-to-end, enterprise-scale AI and machine learning solutions on Google Cloud Platform ...

SailPoint

Senior Staff DevOps Engineer

Charleston, WV · Remote

$120K - $154K/yr

Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform ... This is a fully remote position for candidates based in the USA or Canada. The role carries ...

Zayo

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

Mars Men

VP, Analytics & Data

Charleston, WV · Remote

$141K - $181K/yr

Experience applying AI, machine learning, or automation to analytics, forecasting, reporting, or ... Remote Work Environment - Our team is remote, offering full flexibility to work from home

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Remote Nvidia Machine Learning information

See Charleston, WV salary details

$24.8K

$41.4K

$85.5K

How much do remote nvidia machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote nvidia machine learning in Charleston, WV is $41,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

Remote Nvidia Machine Learning jobs near you

Generative AI Data Analyst - USA (Remote)

Charleston, WV • Remote

Welo Data
Data Services • 1 - 5K employees
Learn more about Welo Dataexternal

$27.38/hr

Full-time

Re-posted 20 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.