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Remote Data Analytics Teaching Jobs in West Virginia

GDIT

Healthcare Claims Data Analyst

WV · Remote

... analytics working alongside experienced Subject Matter Experts, and you do need to be genuinely strong with data. ***W ork visa sponsorship will not be provided for this position. This is a remote ...

GDIT

Sr. Healthcare Data Analyst (Medicaid)

WV · On-site +1

$110K - $149K/yr

Big Data, Data Analytics, Statistical Analysis Certifications: None Experience: 5 + years of ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Experian

$59 - $76/hr

Evolve our existing batch, analytics and MLOps platforms improving reliability, cost, and ... Experience with data modeling, schema design, and data quality as platform engineering concerns.

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

GDIT

SAP Data Migration Engineer

WV · On-site +1

$97K - $127K/yr

This is a remote position. Responsibilities: * Execute data extractions from SAP ECC using SAP Data Services (BODS). * Query and analyze source and staging data using SAP HANA SQL. * Build, maintain ...

Experian

This is a remote position. You will report to the Vice President, Marketing, Health. You will have ... Experience marketing enterprise SaaS, healthcare technology, data, analytics, or other digital ...

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Remote Data Analytics Teaching information

What is the difference between Remote Data Analytics Teaching vs Remote Data Analyst?

AspectRemote Data Analytics TeachingRemote Data Analyst
Required CredentialsTypically requires a degree in data science, education, or related field; teaching certifications may be preferredUsually requires a degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentPrimarily online, involving lesson planning, virtual instruction, and student engagementPrimarily online, involving data analysis, reporting, and collaboration with teams
Employer & Industry UsageEducational institutions, online training platforms, corporate training programsBusinesses, tech companies, finance, healthcare, and consulting firms

Remote Data Analytics Teaching focuses on educating students or professionals about data analysis concepts, often requiring teaching credentials. In contrast, Remote Data Analysts analyze data to provide insights, requiring strong analytical skills and relevant certifications. Both roles are predominantly remote and industry-specific, but their core functions differ: teaching versus analysis.

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Infographic showing various Remote Data Analytics Teaching job openings in West Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 13 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.