clickworker – In April 2020, the crowdsourcing solution provider passed the two million registered crowd member mark. With that the company has more than doubled its crowd in the last two and a half years.
The crowdsourcing specialist clickworker has been characterized by the continual and exponential growth of its Clickworker crowd since its start in 2009. Clickworkers are freelancers from all over the world who are registered on the platform clickworker.com. With currently 2.2 million Clickworkers, the company operates one of the world’s biggest crowdsourcing platforms.
Clickworkers can access clickworker’s project offerings via their computer as well as by using a smartphone or tablet and earn money by working on the available microtasks.
The Clickworker iOS and Android app has been downloaded 900,000 times since its launch in 2017 and is continuously climbing the store charts thanks to positive user reviews.
“The opportunity to work in the app and earn money, along with the increased variety of projects offered, supports the growth and awareness of our job platform,” says Christian Rozsenich, CEO of clickworker GmbH and clickworker.com Inc.
In addition to the popular online surveys, copywriting tasks and PoS checks, a multitude of additional jobs in the category AI training data have been available to Clickworkers since 2016. For those tasks, Clickworkers can create photos, videos and audio recordings with their smartphone and the clickworker app. These data are used by customers to train AI systems. According to crowd comments, this type of project also has a high fun factor, besides an additional earning opportunity!
“Our customers appreciate the diversity of our crowd and the multifaceted results. This is a significant quality attribute for training data. Thanks to the increased demand for such data, we can in turn offer our crowd more variety and a broader project listing. This strengthens the popularity of clickworker.com as well as our sales and our position as a provider in the area of data sourcing,” explains Christian Rozsenich.
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Dieser Artikel wurde am 14.May 2020 von humangrid geschrieben.
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