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MTurk has been posting a series of requester tutorials on their blog. Here are the posts so far. I'll update as others become available:
How to create HITs using our Ruby SDK and HIT editor
How to get back results from MTurk using the Ruby SDK
How to get back results from MTurk using our Ruby SDK and AWS SQS
Creating image classification tasks using Ruby
Categorizing Names With The Requester Website
Managing Results With The Requester Website
Quickly Create a Single Human Intelligence Task (HIT)
Using the MTurk SDKs together with the Requester Website
Tutorial: Getting started with MTurk and Python using Boto
Using the MTurk Requester Website together with Python and Boto
Annotating images with bounding boxes using Amazon Mechanical Turk
Retrieving bounding box image annotations from MTurk
Measuring the accuracy of bounding box image annotations from MTurk
How to use IAM to control API access to your MTurk Account
Using MTurk together with AWS Lambda
Using MTurk and AWS Lamba with Amazon API Gateway
Crowdsourcing from the command line
Managing Worker Cohorts with Qualifications
A Beginner’s Guide to Crowdsourcing ML Training Data with Python and MTurk
Getting great survey results from MTurk and Qualtrics
How to label thousands of images using the crowd
Training AI bots to chat using MTurk and Facebook’s ParlAI
How to verify crowdsourced training data using a Known Answer Review Policy
Best practices for managing Workers in follow-up surveys or longitudinal studies
Getting great survey results from MTurk and SurveyMonkey
Gathering data with MTurk
Validating Data Set Matches with MTurk
Getting great survey results from MTurk and Google Forms
Understanding HITs and Assignments
Reconciling Worker Responses
Getting great survey results from MTurk and SurveyGizmo
Estimating the Accuracy of MTurk Batches
Understanding Requirements and Qualifications
Editing your task layout
Getting started with MTurk and Node.js
Managing MTurk HITs with the AWS Command Line interface
How to create HITs that ask Workers to upload files using Amazon Cognito and Amazon S3
Setting up your AWS Account to make use of MTurk’s API
Using Amazon SNS with Amazon MTurk
Understanding HIT States
Generating images with bounding boxes on-the-fly using AWS Lambda
Using the MTurk API with the React Javascript Library
More on the MTurk API and the React Javascript Library (Part 2)
Parsing MTurk XML responses with Javascript (Part 3)
Using the MTurk API with React Native to build mobile applications
More on the MTurk API and React Native for building mobile apps (Part 2)
Using the MTurk API with the AWS SDK for Java
Using the MTurk API with the AWS SDK for PHP
Using the MTurk API with the AWS SDK for Go
Using the MTurk API with the AWS SDK for C# with .NET
Publishing HITs with MTurk and the Go programming language
How to create HITs using our Ruby SDK and HIT editor
How to get back results from MTurk using the Ruby SDK
How to get back results from MTurk using our Ruby SDK and AWS SQS
Creating image classification tasks using Ruby
Categorizing Names With The Requester Website
Managing Results With The Requester Website
Quickly Create a Single Human Intelligence Task (HIT)
Using the MTurk SDKs together with the Requester Website
Tutorial: Getting started with MTurk and Python using Boto
Using the MTurk Requester Website together with Python and Boto
Annotating images with bounding boxes using Amazon Mechanical Turk
Retrieving bounding box image annotations from MTurk
Measuring the accuracy of bounding box image annotations from MTurk
How to use IAM to control API access to your MTurk Account
Using MTurk together with AWS Lambda
Using MTurk and AWS Lamba with Amazon API Gateway
Crowdsourcing from the command line
Managing Worker Cohorts with Qualifications
A Beginner’s Guide to Crowdsourcing ML Training Data with Python and MTurk
Getting great survey results from MTurk and Qualtrics
How to label thousands of images using the crowd
Training AI bots to chat using MTurk and Facebook’s ParlAI
How to verify crowdsourced training data using a Known Answer Review Policy
Best practices for managing Workers in follow-up surveys or longitudinal studies
Getting great survey results from MTurk and SurveyMonkey
Gathering data with MTurk
Validating Data Set Matches with MTurk
Getting great survey results from MTurk and Google Forms
Understanding HITs and Assignments
Reconciling Worker Responses
Getting great survey results from MTurk and SurveyGizmo
Estimating the Accuracy of MTurk Batches
Understanding Requirements and Qualifications
Editing your task layout
Getting started with MTurk and Node.js
Managing MTurk HITs with the AWS Command Line interface
How to create HITs that ask Workers to upload files using Amazon Cognito and Amazon S3
Setting up your AWS Account to make use of MTurk’s API
Using Amazon SNS with Amazon MTurk
Understanding HIT States
Generating images with bounding boxes on-the-fly using AWS Lambda
Using the MTurk API with the React Javascript Library
More on the MTurk API and the React Javascript Library (Part 2)
Parsing MTurk XML responses with Javascript (Part 3)
Using the MTurk API with React Native to build mobile applications
More on the MTurk API and React Native for building mobile apps (Part 2)
Using the MTurk API with the AWS SDK for Java
Using the MTurk API with the AWS SDK for PHP
Using the MTurk API with the AWS SDK for Go
Using the MTurk API with the AWS SDK for C# with .NET
Publishing HITs with MTurk and the Go programming language
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