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Remote Ai Rater Jobs in West Virginia (NOW HIRING)

Experian

As a Senior Director of AI Platform Engineering, you will oversee a layer of our internal platform ... Oversee creation of the internal platform that is responsible for identity, rate limiting, data ...

Welo Data

Search Quality Rater - Spanish (US)

Charleston, WV · Remote

$16.50 - $21/hr

Our main goal for this project is to develop and augment AI data. To put it more plainly, you will ... Remote, US-based Hours: Minimum 10 hours per week, up to 29 hours per week; set your own schedule ...

AmeriSave Mortgage Corp.

$50K - $200K/yr

Advanced CRM, texting tools, mobile loan applications, AI driven quote tool * Full benefits, paid ... As one of the top-rated lenders in the nation, our mission is to deliver beneficial, responsible ...

AmeriSave Mortgage Corp.

$50K - $200K/yr

Advanced CRM, texting tools, mobile loan applications, AI driven quote tool * Full benefits, paid ... As one of the top-rated lenders in the nation, our mission is to deliver beneficial, responsible ...

Welo Data

German Bilingual Lyric Reviewer

Charleston, WV · Remote

$17 - $18/hr

Welo Data is looking for a German Lyric Reviewer to help us train cutting-edge AI. This role is ... Pay Rate: Approximately $17/hour for Learning Explicitness & Translation Quality * Location: Remote ...

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Remote Ai Rater information

What is the difference between Remote Ai Rater vs Remote Content Evaluator?

AspectRemote Ai RaterRemote Content Evaluator
Required CredentialsBasic education, sometimes a degree in related fieldsBasic education, often similar credentials
Work EnvironmentRemote, flexible hours, online platformsRemote, flexible hours, online platforms
Employer & Industry UsageTech companies, AI development firmsMedia companies, content platforms
Common Search & ComparisonYesYes

The main difference between Remote Ai Rater and Remote Content Evaluator lies in their focus. Remote Ai Raters primarily assess AI-generated content to improve machine learning models, while Remote Content Evaluators review and moderate online content for quality and compliance. Both roles are remote, require similar credentials, and are used across tech and media industries. Understanding these distinctions helps job seekers identify the role that best matches their skills and career goals.

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For Remote Ai Rater jobs in West Virginia, the most frequently searched job titles are:

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Remote Ai Rater jobs near you

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 8 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.