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Remote Machine Learning Jobs in Charleston, WV (NOW HIRING)

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

Forward Deployed Engineer

Charleston, WV · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Bjak

Applied AI Engineer

Charleston, WV · Remote

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage. Focus * Build and ship AI ...

Zayo

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

iSoftStone

Microsoft Copilot and AI

Charleston, WV · Remote

This is a remote role.* We are looking for a Microsoft Copilot and AI Agent Developer to design ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

Cisco

Account Executive - Splunk (Remote)

Charleston, WV · On-site +1

$269K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Become known as a thought-leader in machine learning and predictive analytics. * Expand relationships and orchestrate complex deals across more diverse business stake-holders. * Holistically embrace ...

Prosper

VP of Marketing

Charleston, WV · Remote

$268K - $362K/yr

You will accelerate the development of enhanced machine learning targeting models and aggressive ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Prosper

Sr. Credit Risk Analyst

Charleston, WV · Remote

$129K - $161K/yr

... data, machine learning models and advanced analytics tools to optimize risk decisions * Bring ... Whether you are working from our San Francisco or Phoenix offices or joining us as a fully remote ...

Welo Data

German Bilingual Lyric Reviewer

Charleston, WV · Remote

$17 - $18/hr

Assess machine-translated lyrics for meaning, naturalness, and contextual flow. * Provide quality ... Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote work ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Charleston, WV

Remote Machine Learning information

See Charleston, WV salary details

$24.8K

$41.4K

$85.5K

How much do remote machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote 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 a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are popular job titles related to Remote Machine Learning jobs in Charleston, WV?

For Remote Machine Learning jobs in Charleston, WV, the most frequently searched job titles are:

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Cities near Charleston, WV with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 14 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.