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Multimedia Generative AI Analyst

External
welocalize logoWelocalize · California (bay Area)
Full-timeOn-site2w ago
Generative AILLMsMachine LearningPythonReinforcement Learning
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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.

Additional Information

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here 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:


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