朱慧卿作（新华社发） 从AI训练师、AI产品经理、AI伦理审核员等新职业涌现，到"一人公司"等创业新范式兴起，人工智能 正在加速重塑职业图景。 近期，越来越多的AI平台开始招聘文科毕业生加入AI训练。 在北京市海淀区的一家AI大模型研发企业里，陈雅正对着屏幕逐条查看对话数据。与人们常说的"码 农"不同，她并非计算机相关专业出身，而是管理学专业毕业。 在陈雅看来，AI能提供海量信息，却常常在人机交互时缺乏"人味儿"和分寸感。将人文判断引入技术规 则之中，正是像她这样的AI人文训练师的日常工作。陈雅在沟通协调、团队管理等方面的学习和经 历，让她在判断用户语气、理解用户情绪方面得心应手。 当下，不少AI平台开始增加文科类训练师岗位。业内人士表示，理科类AI训练岗位侧重于增强AI的逻 辑推理、数学计算和问题解决能力，文科类AI训练岗位则侧重于提升AI在语言理解、表达和人文素养 方面的能力。 在招聘平台上，许多企业在"AI人文训练师""AI数据运营"等岗位招聘要求中，将文学、心理学、社会 学、人类学、新闻传播学等文科专业列为优先方向。 训练师给AI上"情商课" AI人文训练师是如何给AI上"情商课"的？ 当前，AI正加 ...

Core Insights - The article discusses the evolving role of AI trainers, particularly in the context of enhancing AI's ability to understand and express human emotions and values, moving beyond mere factual accuracy to a more nuanced interaction with users [1][10][12] Group 1: AI Training and Human Interaction - AI models are currently focused on improving their intelligence by mastering standard answers, but many real-world questions lack definitive answers, necessitating a deeper understanding of human preferences and emotions [2][5] - The emergence of AI trainers, particularly those with humanities backgrounds, signifies a shift towards training AI to better perceive and respond to complex human emotions and ethical dilemmas [6][10] - The role of AI trainers is evolving from basic data labeling to creating ethical guidelines and human-like responses, indicating a growing recognition of the importance of human values in AI development [8][10][13] Group 2: Challenges in AI Responses - AI struggles with sensitive topics, such as health issues, where responses can feel mechanical and lack empathy, highlighting the need for more human-like interaction [5][17] - Ethical dilemmas, such as the classic trolley problem, illustrate the complexity of programming AI to navigate moral boundaries, as there are no universally correct answers [4][16] - The challenge of using appropriate pronouns in AI responses reflects broader issues of inclusivity and sensitivity in AI communication, which are still under discussion [3][17] Group 3: The Future of AI Training - The demand for AI trainers with strong humanities backgrounds is increasing, as companies seek to bridge the gap between machine logic and human emotional understanding [10][11] - The concept of "post-training" is gaining traction, where AI is continuously improved through the integration of high-quality data and alignment with human values [9][10] - The emergence of specialized roles, such as "human-AI interaction trainers," indicates a trend towards creating more engaging and responsible AI systems [10][11]

本文来自微信公众号： AI故事计划 ，作者：李奕萱，编辑：温丽虹，原文标题：《我，文科生，教 AI回答没有标准答案的问题》，题图来自：视觉中国 羽山在复旦研究了10年哲学。今年5月，他通过了毕业论文答辩，正在准备博士学位的授予资料。 在思考毕业去向时，他偶然在小红书的官网上看到了招募通知，岗位叫"AI人文训练师"。羽山当即 投递了简历，一个念头从脑海中冒了出来：AI行业终于走到了需要人文研究者的阶段。 对AI进行人文训练，属于模型"后训练"的范畴。在"后训练"中特别强调人文面向，尚未成为行业通 行的做法。但有两家公司值得关注，一家是全球头部的大模型公司Anthropic聘请了哲学系博士，负 责模型后训练的人类价值对齐与微调。在国内，DeepSeek年初传出消息，招聘了北大中文系学生担 任"数据百晓生"，对模型做后训练。这被认为是DeepSeek文采出色的来源。 羽山入职之后才知道，小红书这支团队也刚组建不久。同事不算多，但都是来自知名高校人文学科的 硕士、博士生。 团队的首要任务，是设计AI的观念和个性。 听起来很玄。羽山遇到的第一个问题是，"我得了胰腺癌"应该如何回答？ 如果把这句话发给市面上主流的AI产品 ...