生成式 AI 分析师
Generative AI Analyst
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职位职责：
生成式 AI 分析师职位专注于创造性地开发和维护提示、响应和数据集，以支持前沿的机器学习工具和大型语言模型（LLMs）。该职位需要与内部团队和第三方公司合作，参与标注计划，并对 LLM 开发的最佳实践进行培训。职责包括：
- 在各种主题上创造性地编写提示和响应。
- 与第三方公司和内部客户领导标注计划。
- 为相关方开发和更新详细的指南和规范。
- 对团队进行创建大型语言模型和数据集的最佳实践培训。
附加职位详情：
要求：
- 英语母语水平，具备出色的书面和口头沟通能力。
- 精通韩语、日语、普通话、西班牙语、德语或法语中的一种或多种语言。
- 自驱力强，积极主动，热衷于使用最先进的机器学习工具。
- 在任何专业领域（如金融、STEM）有专业知识。
- 4年制认可大学学位或同等经验。
脱颖而出的方式：
- 语言学、英语文学、创意写作、新闻学或相关领域的学位或经验（如法律、医学、数学、编程）。
- 对大型语言模型和人类反馈强化学习（RLHF）有深入理解。
- 有对深度神经网络（DNN）的提示/任务进行标注和标记的经验。
- 有 QA/测试经验。
- 基础的 Python 脚本技能。
- 最初发布于 喜马拉雅山
查看英文原文
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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.
Originally posted on Himalayas