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Open nowPosted 32 days ago

【校招】文档与 PDF 预训练数据研究工程师-大模型中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】文档与 PDF 预训练数据研究工程师-大模型中心aicarrier/522799 · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% 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. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 32 days ago

The posting

1.负责 PDF 及复杂文档预训练数据的质量研究、数据方案实现和版本化交付； 2.基于现有 PDF pipeline，研究解析质量、文档结构恢复和内容筛选策略对模型预训练效果的影响； 3.建设 PDF 和文档质量评价体系，包括 OCR 和文本抽取质量评估、阅读顺序恢复、页眉页脚/目录/引用清理、表格/公式/代码块识别、文档完整性/知识密度/专业性评分等； 4.对解析失败或被过滤的文档进行分类，研究通过重新解析、版面恢复、段落重组、内容修复或模型重写等方式恢复数据价值； 5.重点建设高质量 STEM、数学、教材、论文、技术报告及专业知识数据； 6.设计 PDF 数据与网页数据之间的去重、互补性分析和采样策略； 7.设计并执行数据消融和 proxy training 实验，评估 PDF 数据对 Knowledge、STEM、Math、Reasoning 及 Multilingual 能力的贡献。

1.计算机科学、人工智能、自然语言处理、数据科学等相关专业硕士及以上学历； 2.熟悉 PDF 和复杂文档常见问题，包括多栏布局、扫描件、公式、表格、乱码和阅读顺序错误； 3.能够结合规则、模型和统计方法建立文档质量评价和修复流程； 4.熟练使用 Python，能够独立完成数据分析、实验实现和数据版本交付； 加分项：具有图书、教材、论文、专利或技术文档处理经验；熟悉数学公式、表格或科学文献解析；具有多语言 OCR 或低资源语言文档经验；做过文档修复、结构化抽取或多模态文档理解。

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