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Open nowPosted 100 days ago

多模态内容审核算法工程师

01ai/index54 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态内容审核算法工程师01ai/index · Beijing, Chinese Mainland
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11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 100 days ago

The posting

我们正在寻找一位对多模态内容安全与质量治理充满热情的算法工程师。您将负责构建和优化多模态课件审核Agent,通过前沿的大模型技术,确保课件内容的安全性与教育价值,为全球化业务保驾护航。

1. 计算机、人工智能、数学或相关专业本科及以上学历。 2. 具备3年及以上相关领域工作经验。 3. 扎实的机器学习/深度学习基础,熟练掌握PyTorch或TensorFlow框架;深入理解多模态模型(如CLIP、Qwen-VL等)原理与应用。 4. 具有大语言模型(LLM)微调(SFT/RLHF)或多模态模型研发经验者优先。 5. 良好的代码能力,熟悉Python,具有大规模数据处理经验,有内容安全审核算法落地经验者优先。 6. 加分项:熟练掌握哈萨克语或俄语,了解中亚地区文化语境,能处理哈萨克语特有的语法特征与敏感内容识别。

1. 多模态审核Agent开发: 设计并训练多模态内容审核Agent,实现对课件(包含文本、图片、音频、视频)的自动化精准判别,覆盖政治合规、暴恐、色情、低俗等安全风险领域。 2. 课件质量评估体系: 构建多模态内容质量审核模型,自动评估课件的教学逻辑、准确性及多媒体质量,提升整体课件制作标准。 3. 多语言大模型应用: 针对公司核心语言(哈萨克语、俄语、英语)进行模型适配与微调,解决特定语言环境下的文化敏感度识别难题。 4. 业务落地与闭环: 推动算法方案在审核流程中的落地,分析审核日志与误报/漏报样本,持续迭代优化Agent的召回率与准确率。

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