This page breaks down Clickworker ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Clickworker’s overall reputation. This data-driven overview will show you exactly how Clickworker is rated - including how it compares to competitors.

Clickworker's Overall Rating Summary

  • Average Rating:3.7/5
  • Total Reviews:3,226 reviews
  • Sources:G2, Capterra, Trustpilot, Getapp, Softwareadvice
  • Last updated:September 1, 2025

Clickworker Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.1/5
17+ reviews01.09.25
Capterra logoCapterra
4.3/5
58+ reviews01.09.25
Trustpilot logoTrustpilot
3.7/5
3,035+ reviews01.09.25
Getapp logoGetapp
4.3/5
58+ reviews01.09.25
Softwareadvice logoSoftwareadvice
4.3/5
58+ reviews01.09.25

What is Clickworker?

Clickworker GmbH offers AI training data services using a global crowd of Clickworkers to generate, validate, and label data, ensuring high-quality and diverse datasets for AI systems. Their solutions include AI datasets for machine learning, audio and voice datasets, image and video datasets, and text recognition and NLP data. They provide managed services, self-service options, and API integrations, with a workforce of over 6 million Clickworkers in 136 countries.

🤔 Clickworker vs Competitors: How Do Ratings Compare?

Check out Clickworker Alternatives

Frequently Asked Questions

How many stars is Clickworker rated?

Clickworker has an average star rating of 3.7 out of 5 stars based on average of 3,226 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Clickworker public reviews pages on platforms: G2, Capterra, Trustpilot, Getapp, Softwareadvice. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Clickworker is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.