Generative AI Analyst

Welocalize, Inc.

  • TN
  • 3 days ago

    Highlights

    Job Responsibilities: The Generative AI Analyst role focuses on creatively developing and maintaining prompts, responses, and datasets to support cutting-edge machine learning tools and large language models (LLMs). Ways to Stand Out: College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, or relevant domain knowledge (e.g., Law, Medical, Math, Coding).

    Numbers & Facts

    LocationTN

    Description

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    Job Responsibilities:

    The Generative AI Analyst role focuses on creatively developing and maintaining prompts, responses, and datasets to support cutting-edge machine learning tools and large language models (LLMs). This position involves collaboration with internal teams and third-party firms, contributing to labeling initiatives, and training teams on best practices for LLM development.

    Responsibilities:

    • Creatively write prompts and responses across a diverse range of topics.
    • Lead labeling initiatives with third-party firms and internal customers.
    • Develop and update detailed guidelines and specifications for stakeholders.
    • Train teams on best practices for creating large language models and datasets.

    Additional Job Details:

    Requirements:

    • Native-level English proficiency with excellent written and verbal communication skills.
    • Bilingual proficiency in one or more of the following languages: Korean, Japanese, Mandarin, Spanish, German, or French.
    • Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.
    • Domain knowledge in any specialized field (e.g., Finance, STEM).
    • 4-year accredited college degree or equivalent experience.

    Ways to Stand Out:

    • College degree or experience in Linguistics, English Literature, Creative Writing, Journalism, or relevant domain knowledge (e.g., Law, Medical, Math, Coding).
    • Strong understanding of large language models and reinforcement learning from human feedback (RLHF).
    • Experience in labeling and tagging prompts/tasks for deep neural networks (DNN).
    • QA/testing experience.
    • Basic Python scripting skills.

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