Amazon closes Mechanical Turk to new customers, ending an era of crowdsourced AI

Amazon has stopped onboarding new customers to Mechanical Turk, the crowdsourcing platform through which people around the world have labeled data for AI training since 2005. TechCrunch called this moment "possibly the last days" of the service, as synthetic data and self-improving systems push out manual labeling. The platform has been a pillar of the AI industry's early development, but the shift toward synthetic data has left it squeezed from both sides of the market.

AI-processed from TechCrunch; edited by Hamidun News
Amazon closes Mechanical Turk to new customers, ending an era of crowdsourced AI
Source: TechCrunch. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceTechCrunch ↗
Editor-in-Chief
Key metric #1labeling images, audio and text
Key metric #2transcribing video and audio recordings
Key metric #3moderating user-generated content

On July 5, 2026, Amazon announced that it is no longer taking on new customers for Mechanical Turk, a crowdsourcing service that for more than twenty years supplied the AI industry with human-labeled data. TechCrunch, which reported the decision, called this moment "possibly the last days" of the platform.

What Mechanical Turk is

Amazon launched MTurk in 2005. The name refers to the "Turk," an 18th-century mechanical chess automaton that looked like a machine but was operated by a human hidden inside. MTurk worked on the same principle: on the surface a technology service, inside a global network of workers completing microtasks for small payments.

Companies posted tasks on the platform that algorithms could not yet solve reliably:

  • labeling images, audio and text
  • transcribing video and audio recordings
  • moderating user-generated content
  • rating the quality of search results
  • collecting feedback for training language models (RLHF)

MTurk supplied a significant share of the data on which early language models were built. Human ratings gathered through crowdsourcing became the basis of RLHF, the approach companies used to align the behavior of AI systems with the expectations of real people. Many of today's language models went through similar labeling processes early in their development.

Why now?

MTurk peaked at a time when AI systems needed a huge volume of hand-made data, and only humans could produce it at sufficient quality. The situation has changed fundamentally. Major labs are moving to synthetic data: powerful models generate training examples themselves, assess their quality and fine-tune the next generation of systems with minimal human involvement.

Crowdsourced labeling is becoming a niche tool rather than the backbone of the industry. At the same time, more specialized platforms have appeared, with better quality control and professional annotators focused on complex tasks. MTurk, built for a mass flow of cheap tasks, ended up at a disadvantage on both sides of the market.

The platform's workers were known as "turkers." At the peak, they numbered in the hundreds of thousands worldwide, from the US to India and Bangladesh. For many it was extra income; for some it was the main source of earnings. Ending the intake of new customers means new tasks on the platform will gradually dry up.

What it means

Mechanical Turk embodied an entire era of AI development, in which the technology relied on large-scale, distributed human labor. Amazon's decision to close the platform to new customers confirms a trend that has been visible for several years: the industry is moving away from crowdsourced labeling toward synthetic data and self-improving systems.

Amazon has not yet announced a full shutdown of MTurk, and existing customers will apparently be able to keep working. But halting intake means a slow fade rather than an abrupt end. There is a symbolism to it: the platform that helped create modern AI is giving way to AI itself.

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Key Questions Answered

Why now?

MTurk peaked at a time when AI systems needed a huge volume of hand-made data, and only humans could produce it at sufficient quality. The situation has changed fundamentally. Major labs are moving to synthetic data: powerful models generate training examples themselves, assess their quality and fine-tune the next generation of systems with minimal human involvement. Crowdsourced labeling is becoming a niche tool rather than the backbone of the industry. At the same time, more specialized platforms have appeared, with better quality control and professional annotators focus

What Mechanical Turk is?

Amazon launched MTurk in 2005. The name refers to the "Turk," an 18th-century mechanical chess automaton that looked like a machine but was operated by a human hidden inside. MTurk worked on the same principle: on the surface a technology service, inside a global network of workers completing microtasks for small payments. Companies posted tasks on the platform that algorithms could not yet solve reliably: labeling images, audio and text transcribing video and audio recordings moderating user-generated content rating the quality of search results collecting feedback for tra

What it means?

Mechanical Turk embodied an entire era of AI development, in which the technology relied on large-scale, distributed human labor. Amazon's decision to close the platform to new customers confirms a trend that has been visible for several years: the industry is moving away from crowdsourced labeling toward synthetic data and self-improving systems. Amazon has not yet announced a full shutdown of MTurk, and existing customers will apparently be able to keep working. But halting intake means a slow fade rather than an abrupt end. There is a symbolism to it: the platform that h

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Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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