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Welo Data
Welo Data

Welo Data is a provider of training and evaluation services for artificial intelligence models.

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    Infographic showing various Business Development job openings at Welo Data in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 53% Physical, and 47% Remote job distribution.

    Generative AI Data Analyst - USA (Remote)

    Welo Data

    Charleston, WV • Remote

    $27.38/hr

    Full-time

    Re-posted 5 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.