Amazon Mechanical Turk

<!DOCTYPE html> <html> <head>  <meta http-equiv="Content-Security-Policy" content="default-src 'none'; script-src 'self'; style-src 'self' https://*.awsstatic.com/; font-src 'self' data: https://*.awsstatic.com/; img-src 'self'; object-src 'none';" />  <meta charset="utf-8" />  <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <title>Amazon Mechanical Turk</title>        <link rel="stylesheet" href="https://a0.awsstatic.com/libra-css/css/1.0.212/style-awsm.css" />  <link media="all" rel="stylesheet" href="/assets/css/main.css" />  <script src="/assets/js/jquery-3.7.0.min.js" defer></script>  <script src="/assets/js/jquery.main.js" defer></script> <link rel="shortcut_icon" href="/assets/images/favicon.ico" /> <link rel="icon" href="/assets/images/favicon.ico" /> </head> <body>  <div id="wrapper">  <header id="header"> <div class="header-top"> <span>Looking to work on tasks?</span> <div class="inline-block"> <span ><a href="https://worker.mturk.com/">Sign in as a Worker</a> | <a href="/worker">Learn more</a></span > </div> </div> <div class="header-bottom">  <strong class="logo"> <a href="/"> <img src="/assets/images/logo.svg" alt="Amazon Mechanical Turk" /> </a> </strong>  <nav class="menu"> <a href="#" class="nav-opener"><span></span></a> <div class="nav-drop"> <ul id="nav"> <li class="active"><a href="/">Overview</a></li> <li><a href="/product-details">Features</a></li> <li><a href="/pricing">Pricing</a></li> <li><a href="/help">Help</a></li> <li><a href="/resources">Developer Resources</a></li> <li><a href="/customers">Customers</a></li> </ul> <a href="https://requester.mturk.com/signin_options" class="btn" >Sign in as a Requester</a > </div> </nav> </div> </header>  <div class="lb-page-content" id="page-content" data-page-alert-target="true" > <main role="main"> <div class="lb-mbox js-mbox" data-mbox="en_mturk_hero"> <div class="lb-bg-left-top-cover lb-mid-pad lb-none-v-margin lb-grid" id="hero-box" > <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <h1 id="Amazon_MTurk" class="lb-txt-bold lb-txt-white lb-none-v-margin lb-h1-xlarge lb-title" > Amazon Mechanical Turk </h1> <div class="lb-border-left lb-border-p lb-mid-small-pad lb-small-v-margin lb-box" id="hero-description-border-left" > <h2 id="Access_A_Global_Workforce" class="lb-txt-normal lb-txt-white lb-small-v-margin lb-h2 lb-title" > Access a global, on-demand, 24x7 workforce </h2> </div> <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-8"> <div class="lb-btn"> <a class="lb-btn-a-primary" href="/get-started" role="button" > <span> Get started with Amazon Mechanical Turk</span> </a> </div> </div> <div class="lb-col lb-tiny-24 lb-mid-8"></div> <div class="lb-col lb-tiny-24 lb-mid-8"></div> </div> </div> </div> </div> </div> <div class="lb-mbox js-mbox" data-mbox="en_ribbon_below-hero"></div> <div class="announcement-banner"> <div class="lb-grid lb-row lb-row-max-large lb-snap announcement-banner-content" > <div class="lb-tiny-24 lb-mid-24"> <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-tiny-24"> <div class="lb-tiny-align-left lb-small-align-left lb-mid-align-left lb-large-align-left lb-xlarge-align-left lb-txt-light lb-txt-17 lb-txt-lead color-squid-ink" > <table class="announcement-banner-table"> <tr> <td class="announcement-banner-content-cell"> <h3 class="announcement-banner-title-text"> Looking for data labeling solutions to power Machine Learning models? </h3> <div class="announcement-banner-content-text"> Amazon SageMaker Ground Truth allows you to easily build and manage your own data labeling workflows and workforce. Or, use Ground Truth Plus, a turnkey data labeling service that provides an expert workforce and manages it on your behalf. Amazon Mechanical Turk is accessible through both Ground Truth and Ground Truth Plus. </div> </td> <td class="announcement-banner-learn-more-link-cell"> <a target="_blank" rel="noopener noreferrer" href="https://aws.amazon.com/sagemaker/data-labeling/" > <div class="announcement-banner-learn-more-link"> Learn More » </div> </a> </td> </tr> </table> </div> </div> </div> </div> </div> </div> <div class="lb-grid lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24"> <div class="lb-tiny-align-left lb-small-align-left lb-mid-align-left lb-large-align-left lb-xlarge-align-left lb-txt-light lb-txt-17 lb-txt-lead lb-rtxt color-squid-ink" > <p> Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and businesses to outsource their processes and jobs to a distributed workforce who can perform these tasks virtually. This could include anything from conducting simple data validation and research to more subjective tasks like survey participation, content moderation, and more. MTurk enables companies to harness the collective intelligence, skills, and insights from a global workforce to streamline business processes, augment data collection and analysis, and accelerate machine learning development. </p> <p> While technology continues to improve, there are still many things that human beings can do much more effectively than computers, such as moderating content, performing data deduplication, or research. Traditionally, tasks like this have been accomplished by hiring a large temporary workforce, which is time consuming, expensive and difficult to scale, or have gone undone. Crowdsourcing is a good way to break down a manual, time-consuming project into smaller, more manageable tasks to be completed by distributed workers over the Internet (also known as ‘microtasks’). </p> </div> </div> </div> </div> </div> <div class="lb-mid-pad lb-none-v-margin lb-grid background-light-grey" > <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-grid lb-row lb-row-max-large lb-snap margin-bottom-0" > <div class="lb-col lb-tiny-24 lb-mid-24"> <h1 id="Benefits" class="lb-txt-bold lb-h1 lb-title color-squid-ink" > Benefits </h1> </div> </div> <div class="lb-grid lb-row lb-row-max-large lb-snap lb-gutter-mid margin-top-0" > <div class="lb-col lb-tiny-24 lb-mid-8"> <h3 id="Optimize_Efficiency" class="lb-txt-bold lb-txt-18 lb-h3 lb-title color-squid-ink margin-bottom-0" > Optimize efficiency </h3> <div class="lb-rtxt"> <p> MTurk is well-suited to take on simple and repetitive tasks in your workflows which need to be handled manually. Using MTurk to outsource microtasks ensures that work gets done quickly, while freeing up time and resources for the company – so internal staff can focus on higher value activities.<br /> <br /> </p> </div> </div> <div class="lb-col lb-tiny-24 lb-mid-8"> <h3 id="Increase_Flexibility" class="lb-txt-bold lb-txt-18 lb-h3 lb-title color-squid-ink margin-bottom-0" > Increase flexibility </h3> <div class="lb-rtxt"> <p> Scaling up and down a workforce isn’t the easiest undertaking. With access to a global, on-demand, 24x7 workforce, MTurk enables businesses and organizations to get work done easily and quickly when they need it – without the difficulty associated with dynamically scaling your in-house workforce. <br /> <br /> </p> </div> </div> <div class="lb-col lb-tiny-24 lb-mid-8"> <h3 id="Store_.26_redistribute_speech" class="lb-txt-bold lb-txt-18 lb-h3 lb-title color-squid-ink margin-bottom-0" > Reduce cost </h3> <div class="lb-rtxt"> <p> MTurk offers a way to effectively manage labor and overhead costs associated with hiring and managing a temporary workforce. By leveraging the skills of distributed Workers on a pay-per-task model, you can significantly lower costs while achieving results that might not have been possible with just a dedicated team.<br /> </p> </div> </div> <div class="lb-col lb-tiny-24 lb-mid-8"></div> </div> </div> </div> </div> <div id="mid_page"></div> <div class="lb-mbox js-mbox" data-mbox="en_banner_product-mid_page" ></div> <div class="lb-grid background-color-white"> <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-grid lb-row lb-row-max-large lb-snap padding-top-0" > <div class="lb-col lb-tiny-24 lb-mid-24"> <h1 id="How_it_works" class="lb-h1 lb-title color-squid-ink" > How it works </h1> <div class="lb-tiny-align-left lb-small-align-left lb-mid-align-left lb-large-align-left lb-xlarge-align-left lb-txt-light lb-txt-17 lb-txt-lead lb-rtxt color-squid-ink" > <p> MTurk offers developers access to a diverse, on-demand workforce through a flexible user interface or direct integration with a simple API. Organizations can harness the power of crowdsourcing via MTurk for a range of use cases, such as microwork, human insights, and machine learning development. </p> <br /> </div> <figure class="lb-img"> <div> <img alt="How MTurk Works" title="How MTurk Works" src="/assets/images/how-it-works.png" /> </div> </figure> </div> </div> </div> </div> </div> <div class="lb-grid lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-grid lb-row lb-row-max-large lb-snap margin-bottom-0" > <div class="lb-col lb-tiny-24 lb-mid-24"> <h1 id="Use_Cases" class="lb-mid-v-margin lb-h1 lb-title color-squid-ink" > Use Cases </h1> <h2 id="ML" class="lb-txt-bold lb-txt-18 lb-h2 lb-title color-squid-ink font-weight-bold" > Building, managing, and evaluating Machine Learning workflows </h2> <div class="lb-txt-light lb-txt-skt-dark-grey lb-txt-16 lb-rtxt color-squid-ink margin-top-0" > <p> MTurk can be a great way to minimize the costs and time required for each stage of ML development. It is easy to collect and annotate the massive amounts of data required for training machine learning (ML) models with MTurk. Building an efficient machine learning model also requires continuous iterations and corrections. Another usage of MTurk for ML development is human-in-the-loop (HITL), where human feedback is used to help validate and retrain your model. An example is drawing bounding boxes to build high-quality datasets for computer vision models, where the task might be too ambiguous for a purely mechanical solution and too vast for even a large team of human experts. <br /> </p> </div> <div class="lb-grid lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-8"> <figure class="lb-img"> <div> <a href="https://allenai.org/" ><img alt="AllenAI" title="AllenAI" src="/assets/images/allen.png" /></a> </div> </figure> </div> <div class="lb-col lb-tiny-24 lb-mid-16"> <div class="lb-rtxt"> <p> “At AI2, we're pushing the state of the art of Artificial Intelligence, which often requires human-annotated data to train new systems and measure our progress. In particular, we use crowdsourcing platforms such as Amazon Mechanical Turk to build datasets that help our models learn common sense knowledge, which is often necessary to answer basic questions that are easy for humans but still quite hard for machines. Amazon Mechanical Turk provides a flexible platform that enables us to harness human knowledge to advance machine learning research.” </p> <p> – Michael Schmitz, Director of Engineering, Allen Institute for AI </p> </div> </div> </div> <hr class="lb-divider" /> <h2 id="BPO" class="lb-txt-bold lb-txt-18 lb-h2 lb-title color-squid-ink font-weight-bold" > Business process outsourcing </h2> <div class="lb-txt-light lb-txt-skt-dark-grey lb-txt-16 lb-rtxt color-squid-ink margin-top-0" > <p> A large, seemingly overwhelming task can sometimes be transformed into a set of smaller, more manageable microtasks that can each be accomplished independently. Crowdsourcing can be an efficient organizational strategy to harness innovation and agility by distributing work to Internet users. Businesses or developers can use MTurk to access thousands of on-demand workers—and then integrate the results of that work directly into their business processes and systems. Common examples include the moderation of web and social media content, categorization of products or images, and the collection of data from websites or other resources.<br /> </p> </div> <div class="lb-grid lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-8"> <figure class="lb-img"> <div> <a href="https://usfoods.com/" ><img alt="USFoods" title="USFoods" src="/assets/images/usfoods.png" /></a> </div> </figure> </div> <div class="lb-col lb-tiny-24 lb-mid-16"> <div class="lb-rtxt"> <p> “The F&B industry has always operated at the mercy of changing tastes and preferences of consumers. Our goal is to surface consumer insights and spot emerging trends, so our clients can effectively respond with effective strategies. Workers on Amazon Mechanical Turk respond to our requests to gather information from menus, websites, and other channels. We are able to leverage these human collective insights to better understand customer needs and uncover important market trends.” </p> <p> – David Falck, Executive Director, Food Genius / US Foods Data Science<br /> </p> </div> </div> </div> </div> </div> </div> </div> <div class="lb-none-pad lb-none-v-margin lb-grid background-color-squid-ink" > <div class="lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-grid lb-row lb-row-max-large lb-snap"> <div class="lb-col lb-tiny-24 lb-mid-16"> <div class="lb-txt-bold lb-txt-white lb-txt-32 lb-tiny-v-margin lb-rtxt margin-bottom-0" > <p>Learn more about Amazon Mechanical Turk</p> </div> <a class="lb-txt-bold lb-txt-none lb-txt-blue-link lb-txt-18 lb-txt-lead lb-txt link-color" href="/product-details" > Visit the features page</a > </div> <div class="lb-col lb-tiny-24 lb-mid-8"> <div class="lb-border-left lb-border-p lb-mid-pad lb-box" id="ready-to-build" > <div class="lb-txt-bold lb-txt-white lb-txt-18 lb-txt"> Ready to build? </div> <a class="lb-txt-bold lb-txt-none lb-txt-blue-link lb-txt-16 lb-txt link-color margin-bottom-25" href="/get-started" > Get started with Amazon Mechanical Turk</a > <div class="lb-txt-bold lb-txt-none lb-txt-white lb-txt-18 lb-txt" > Have more questions? </div> <a class="lb-txt-bold lb-txt-none lb-txt-blue-link lb-txt-16 lb-txt link-color" href="https://support.aws.amazon.com/#/contacts/aws-mechanical-turk" > Contact us</a > </div> </div> </div> </div> </div> </div> <div class="lb-none-v-margin lb-grid lb-row lb-row-max-large lb-snap margin-bottom-0" > <div class="lb-col lb-tiny-24 lb-mid-24"> <div class="lb-none-pad lb-none-v-margin lb-grid lb-row lb-row-max-large lb-snap" > <div class="lb-col lb-tiny-24 lb-mid-12"> <div class="lb-mbox js-mbox" data-mbox="en_2up_product-left" ></div> </div> <div class="lb-col lb-tiny-24 lb-mid-12"> <div class="lb-mbox js-mbox" data-mbox="en_2up_product-right" ></div> </div> </div> <div class="lb-mbox js-mbox" data-mbox="en_1up_product"></div> </div> </div> </main> </div>  <div class="footer-holder"> <footer id="footer"> <div class="right-side">  <strong class="logo"> <img src="/assets/images/footer-logo.svg" alt="an amazon company" /> </strong> </div> <div class="left-side">  <ul class="menu"> <li><a href="/help">Help</a></li> <li> <a href="https://support.aws.amazon.com/#/contacts/aws-mechanical-turk" >Contact us</a > </li> <li><a href="/legal-licenses">Legal & Licenses</a></li> <li> <a href="https://www.amazon.jobs/en/team/mechanical-turk" target="_blank" >Careers</a > </li> <li> <a href="https://twitter.com/amazonmturk" target="_blank" >Follow us on Twitter</a > </li> <li> <a href="http://blog.mturk.com" target="_blank">MTurk Blog</a> </li> <li> <a href="https://requester.mturk.com/status/" target="_blank" >Service Health</a > </li> </ul> <div class="copyright"> <p> © 2005-2018, <a href="/">Amazon Mechanical Turk</a>, Inc. or its affiliates. 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