<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>数据标注 on Lynx 的技术博客</title><link>https://blog.lynxflow.co/tags/%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8/</link><description>Recent content in 数据标注 on Lynx 的技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><lastBuildDate>Wed, 05 Aug 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/tags/%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Token 密集型标注产业白皮书（2026）</title><link>https://blog.lynxflow.co/posts/ai-token-annotation-whitepaper-2026/</link><pubDate>Wed, 05 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/posts/ai-token-annotation-whitepaper-2026/</guid><description>&lt;img src="https://blog.lynxflow.co/images/ai-token-annotation-whitepaper-2026.png" alt="Featured image of post AI Token 密集型标注产业白皮书（2026）" /&gt; 生成:2026-07-31 · ultracode 多智能体研究流水线(41 agents)· 九大部分 + 12 个细分行业深度分析 数据出处见各章「参考资料」节;无来源判断均已标注【推断】</description></item><item><title>在家就能干的带薪摸鱼:远程线上岗位深度调研</title><link>https://blog.lynxflow.co/posts/paid-to-chill-without-leaving-home-a-deep-dive-into-remote-online-gigs/</link><pubDate>Wed, 05 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/posts/paid-to-chill-without-leaving-home-a-deep-dive-into-remote-online-gigs/</guid><description>&lt;img src="https://blog.lynxflow.co/images/paid-to-chill-without-leaving-home-a-deep-dive-into-remote-online-gigs.png" alt="Featured image of post 在家就能干的带薪摸鱼:远程线上岗位深度调研" /&gt;上一篇《哪些工作适合 vibe coding?》讲了 12 大类 102 个岗位,但那些基本都要出门——去保安室、去便利店、去数据中心值守。这篇讲一个更彻底的选项:连门都不用出的远程线上岗位。</description></item></channel></rss>