PIX Withdrawal for Workers in Brazil: New Microworkers Payment Option

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Good news for workers in Brazil! PIX is now available as a new withdrawal option on Microworkers. This gives workers in Brazil another convenient way to withdraw their earnings. With this new PIX withdrawal option, you can use your registered PIX details to receive your Microworkers earnings. In this article, we’ll explain the available PIX […]

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Considering an MTurk Alternative? A Practical Look at Microworkers

If you are currently using Amazon Mechanical Turk (MTurk) and have started looking for an alternative, you may want to take a look at Microworkers. The two platforms have a similar purpose, but they differ in how they handle tasks, Workers, ratings, and fees. For Requesters planning to move some of their work, understanding how […]

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What’s New in Microworkers: Easier Task Removal for Workers

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Good news! We’ve introduced a new feature that makes task removal easier for workers. This feature is designed for situations where workers may want to remove a recently completed task after realizing they made a mistake. For example, they may have uploaded the wrong proof, missed one of the required steps, or realized after submitting […]

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Real-World Data Challenges: How Microworkers Supports AI Accuracy in Crumpled Receipts

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What happens when AI reads a receipt that is crumpled, faded, or partially unreadable? While artificial intelligence (AI) can process thousands of images in seconds, real-world data often presents challenges that go beyond clean and structured inputs. From crumpled receipts and blurred text to stylized product labels, these imperfections can lead to errors that affect […]

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Training AI for Trust & Safety Beyond Content Moderation: Human Intelligence Campaigns on Microworkers

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Artificial Intelligence is transforming the way businesses operate — from chatbots and content generation tools to recommendation engines and automated customer support. But as AI becomes more influential, there’s a growing risk: AI outputs can be unsafe, misleading, or biased. While traditional content moderation helps reactively remove harmful content, forward-thinking companies are now taking a […]

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