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Entrylevel Ai Data Labeling Jobs in West Virginia

German Language Speaker

Charleston, WV

$34/hr

  • Medical

  • Dental

  • Vision

Work with real speech & audio data in German * Label, transcribe & tag language datasets that power real-world AI * Help train AI to understand your language better * Be part of a world-class, tech ...

Hungarian Language Speakers

Charleston, WV · On-site

$26 - $28/hr

  • Medical

  • Dental

  • Vision

Work with real speech & audio data in Hungarian speakers * Label, transcribe & tag language datasets that power real-world AI * Help train AI to understand your language better * Be part of a world ...

French Language Speakers

Charleston, WV

$26 - $28/hr

  • Medical

  • Dental

  • Vision

Work with real speech & audio data in French * Label, transcribe & tag language datasets that power real-world AI * Help train AI to understand your language better * Be part of a world-class, tech ...

German Language Speaker

Charleston, WV

$38/hr

  • Medical

  • Dental

  • Vision

Work with real speech & audio data in German * Label, transcribe & tag language datasets that power real-world AI * Help train AI to understand your language better * Be part of a world-class, tech ...

Use proprietary software to provide labels, annotations, recordings, and inputs on projects ... Support the delivery of high-quality curated audio data that ensures clear, natural spoken output ...

Use proprietary software to provide labels, annotations, recordings, and inputs on projects ... Support the delivery of high-quality curated audio data that ensures clear, natural spoken output ...

Use proprietary software to provide labels, annotations, recordings, and inputs on projects ... Support the delivery of high-quality curated audio data that ensures clear, natural spoken output ...

Production Tech-Spencer

Spencer, WV · On-site

$16 - $20/hr

Performs entry level tasks involved in the manufacturing of rubber insulation and engineered foam ... Reads and understands safety data sheets, and the daily production plan * Track production on ...

Production Tech-Spencer

Spencer, WV

$16 - $20/hr

Performs entry level tasks involved in the manufacturing of rubber insulation and engineered foam ... Reads and understands safety data sheets, and the daily production plan * Track production on ...

Production Tech-Spencer

Spencer, WV · On-site

$16 - $20/hr

Performs entry level tasks involved in the manufacturing of rubber insulation and engineered foam ... Reads and understands safety data sheets, and the daily production plan * Track production on ...

1st Shift Production Associate

Fraziers Bottom, WV · On-site

$14.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Packaging and labeling finished goods * Using basic hand tools and production equipment ... This is a great opportunity for both entry-level candidates and experienced manufacturing ...

Production Associate

Fraziers Bottom, WV

$14.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Package and label finished products according to lean manufacturing principles. * Maintain a clean ... No prior experience required; entry-level position. * Good attitude, willingness to learn, and ...

... create a label through the system to mark skids of finished products Take the lead in solving ... Night shift (Preferred) Day shift (Preferred) We may use artificial intelligence (AI) tools to ...

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Showing results 1-20

Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What job categories do people searching Entrylevel Ai Data Labeling jobs in West Virginia look for?

The top searched job categories for Entrylevel Ai Data Labeling jobs in West Virginia are:

What cities in West Virginia are hiring for Entrylevel Ai Data Labeling jobs?

Cities in West Virginia with the most Entrylevel Ai Data Labeling job openings:

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 12 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.