Multimedia Generative AI Analyst
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
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:
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at welocalize? Share your experience