Simple-amt: A Helper for Running Tasks on Amazon's Mechanical Turk

Amazon's Mechanical Turk is a platform where you can pay people online to do small tasks for you—like labeling images, writing descriptions, answering surveys, or categorizing content. Normally, interacting with Mechanical Turk requires writing a lot of code and understanding Amazon's complex APIs. Simple-amt strips away that complexity. It lets you focus on designing the actual task workers will do, then handles all the behind-the-scenes communication with Amazon's systems.

Here's how it works in practice. You create three things: an HTML template that defines what the task looks like on workers' screens, a JSON settings file that specifies details like the title, payment amount, and time limit, and a text file containing the data for each task instance. Then you run a simple command that launches your tasks. The framework takes care of uploading everything to Amazon, managing worker assignments, collecting results, and paying workers—all through straightforward command-line commands. Once workers complete your tasks, another command retrieves all their answers as structured data you can analyze.

This tool would be useful for researchers collecting data, companies doing quality assurance work, or founders testing ideas that require human feedback. For example, a machine learning researcher might use it to have workers label thousands of images, or a startup might ask workers to review whether their product recommendations make sense. Instead of wrestling with Amazon's official APIs and documentation, they can just describe their task in HTML and get to work.

The framework is intentionally lightweight—it doesn't force you into a rigid structure or make assumptions about what your tasks should look like. You have full control over the HTML interface, so you can build anything from simple text input forms to complex interactive experiences. The README includes a complete walkthrough with a working example, making it straightforward to get started, though it does require familiarity with command-line tools and basic comfort with configuration files.