内容来源：https://techcrunch.com/2026/08/20/ai-data-startup-micro1-reaches-500m-gross-run-rate-amid-ai-training-boom/

内容总结：

AI训练数据需求井喷，数据标注初创企业Micro1年收入狂奔至5亿美元

随着顶级实验室和企业对独特AI训练数据的需求近乎无止境，一批数据标注初创公司正迎来爆发式增长。其中，成立仅四年的Micro1便是典型代表。据知情人士透露，这家初创公司在过去八个月内，将其年度总营收运行率从1亿美元猛增至5亿美元。与同行类似，Micro1以合同制方式聘请医生、律师、科学家等各领域专家，并从中保留约60%至70%的营收，使其净年度运行率达到1.5亿至2亿美元之间。

尽管Micro1在规模上仍落后于竞争对手Mercor（今年夏季年化总收入已达20亿美元）和Handshake（今年早些时候达到10亿美元），但其营收增速表明，市场对AI训练数据的需求足以支撑多家企业共同发展。

这一高速增长势头有望持续。有研究人员预测，未来AI领域在数据上的投入可能媲美在算力上的投入。这对Micro1而言无疑是利好——其合同规模正加速扩大，利润率预计也将逐步提升。该公司越来越多地采用无需人工参与的合成数据生成方式，例如自动生成视频内容的描述文本。此外，部分生成的数据可同时出售给多个客户，使得这类“现成数据”的毛利率高达80%至90%。

然而，将同一数据集出售给多个客户的做法近来也引发争议。批评者指出，向中国AI开发者提供现成数据，可能帮助中国模型达到与美国顶尖模型相当的水平。对此，Micro1创始人阿里·安萨里上月曾在X平台上表示，与部分竞争对手不同，该公司不向中国模型厂商出售数据。他直言：“一些人类数据公司正与外国对手合作，如今Kimi K3的成果已说明问题。我们认为，一边宣称要维护美国AI主导地位，一边却向处于竞争对抗关系的国家出售价值数百万美元的数据，是可耻的行为。”

与Mercor类似，Micro1最初是一家AI招聘初创公司。但在发现客户利用其AI平台筛选和招募标注工程师后，安萨里决定转型，切入数据标注赛道。安萨里此前向TechCrunch透露，除了让专家评估模型输出（即“强化学习训练场”概念）外，公司还通过数百名普通员工在家中录制日常物品交互视频，构建机器人预训练数据集。

去年9月，Micro1完成A轮融资，估值达5亿美元。据TechCrunch了解，该公司近期可能已完成新一轮融资，估值大幅提升。截至发稿，Micro1未回应置评请求。

中文翻译：

顶级实验室和企业对独特AI训练数据的近乎无限需求，正推动一批数据标注初创公司迎来爆发式增长。

其中一家快速成长的企业是Micro1，这家成立四年的初创公司过去八个月内将年化毛收入从1亿美元扩大到5亿美元，据知情人士透露。与同行一样，Micro1以合同制雇佣医生、律师和科学家等领域的专家，它保留其中约60%至70%的收入，净年化收入在1.5亿至2亿美元之间。

虽然Micro1仍落后于Mercor（今年夏天年化毛收入达到20亿美元）和Handshake（今年早些时候达到10亿美元）等竞争对手，但该初创公司的收入增长表明，市场需求足以支撑多家企业同时供应AI训练数据。

这种快速增长势必会持续下去，一些研究人员推测，未来AI在数据上的支出可能与算力支出不相上下。

这一前景对Micro1十分有利，该公司正以加速的节奏扩大合同规模，并预计利润率将随时间提升。这家初创公司越来越多地生成无需人工参与的合成数据，例如为视频内容创建自动描述。此外，它生成的部分数据可以出售给多个客户，使这种“现成”数据的毛利率高达80%至90%，一位熟悉该公司财务状况的人士告诉TechCrunch。

将相同数据集出售给多个客户最近引发了争议，批评者认为，将现成数据分发给中国AI开发者，有助于他们的模型达到与美国顶尖模型同等的水平。

Micro1创始人阿里·安萨里上个月在X上表示，与一些竞争对手不同，这家初创公司不向中国模型制造商出售数据。“一些人类数据公司与外国对手合作。结果今天在Kimi K3中体现出来。我们认为，一边声称追求美国AI主导地位，一边向与我们处于竞争对抗关系的国家出售价值数百万美元的数据，是可耻的。”

与Mercor一样，Micro1最初是一家AI招聘初创公司。但在注意到数据标注客户利用他的AI平台来筛选和招聘标注工程师后，安萨里决定转型，进入数据标注业务。

安萨里此前告诉TechCrunch，除了让专家评估模型输出（这一概念被称为强化学习训练场）之外，该公司还通过让数百名普通人员在自家录制日常物体交互，构建一个机器人预训练数据集。

Micro1去年9月以5亿美元估值完成了A轮融资，TechCrunch了解到，这家初创公司可能最近以显著更高的估值完成了新一轮融资。

Micro1未回应置评请求。

英文来源：

The near-bottomless demand for unique AI training data from top labs and corporations is driving a massive boom for a cohort of data-labeling startups.
One of these fast-growing businesses is Micro1, a four-year-old startup that expanded its gross annual run rate from $100 million to $500 million over the past eight months, according to a person familiar with the company. Like its peers that hire domain experts such as doctors, lawyers, and scientists on a contract basis, Micro1 retains roughly 60% to 70% of that figure, putting its net annual run rate between $150 million and $200 million.
While Micro1 still lags competitors like Mercor (which hit $2 billion in gross annualized revenue this summer) and Handshake (which reached $1 billion earlier this year), the startup’s revenue growth shows that there is more than enough demand to support multiple players supplying AI training data.
The rapid growth is bound to continue, with some researchers hypothesizing that future AI spending on data could rival spending on compute.
That outlook bodes well for Micro1, which is seeing its contract sizes grow at an accelerated pace and expects its margins to expand over time. The startup is increasingly generating synthetic data without human involvement, such as by creating automated descriptions of video content. Additionally, some of the data it generates can be sold to multiple customers, driving gross margins for this “off-the-shelf” data as high as 80% to 90%, a person familiar with the startup’s finances told TechCrunch.
Selling the same datasets to multiple clients has sparked recent controversy, with critics arguing that distributing off-the-shelf data to Chinese AI developers helps make their models as powerful as top U.S. models.
Micro1’s founder, Ali Ansari, said last month on X that unlike some of its competitors, the startup doesn’t sell its data to Chinese model makers. “Some human data companies work with foreign adversaries. [A]nd the results show today in Kimi K3. We believe it’s shameful to claim American AI dominance desires while selling millions worth of data to countries that we are in adversarial competition with.”
Like Mercor, Micro1 began as an AI recruiting startup. But after noticing that data-labeling clients were using his AI platform to vet and recruit engineers for annotation, Ansari decided to pivot and enter the data-labeling business, too.
Ansari previously told TechCrunch that in addition to having its experts evaluate model outputs — a concept known as reinforcement learning gyms — the company is building a robotics pre-training dataset by having hundreds of generalists record everyday object interactions in their homes.
Micro1 raised its Series A at a $500 million valuation last September, and TechCrunch understands that the startup may have recently raised another round at a significantly higher valuation.
Micro1 didn’t respond to a request for comment.