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AMAZON MECHANICAL TURK


ACCESS A GLOBAL, ON-DEMAND, 24X7 WORKFORCE

Get started with Amazon Mechanical Turk





LOOKING FOR DATA LABELING SOLUTIONS TO POWER MACHINE LEARNING MODELS?

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.
Learn More »

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.

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’).


BENEFITS


OPTIMIZE EFFICIENCY

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.




INCREASE FLEXIBILITY

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.




REDUCE COST

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.







HOW IT WORKS

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.





USE CASES


BUILDING, MANAGING, AND EVALUATING MACHINE LEARNING WORKFLOWS

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.


“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.”

– Michael Schmitz, Director of Engineering, Allen Institute for AI

--------------------------------------------------------------------------------


BUSINESS PROCESS OUTSOURCING

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.


“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.”

– David Falck, Executive Director, Food Genius / US Foods Data Science


Learn more about Amazon Mechanical Turk

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