Amazon Mechanical Turk

aid: amazon-mechanical-turk
name: Amazon Mechanical Turk
description: Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace that makes it easier for individuals and businesses
  to coordinate the use of human intelligence to perform tasks that computers are currently unable to do well. It enables
  access to a global, on-demand, 24x7 workforce for data labeling, content moderation, surveys, transcription, and machine
  learning training data collection.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AWS
- Crowdsourcing
- Human Intelligence
- Labor
- Machine Learning
- Tasks
url: https://raw.githubusercontent.com/api-evangelist/amazon-mechanical-turk/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: amazon-mechanical-turk:amazon-mturk-api
  name: Amazon Mechanical Turk API
  description: The Amazon Mechanical Turk API provides programmatic access to create and manage HITs, qualifications, workers,
    assignments, and bonuses for coordinating crowdsourced human intelligence tasks. Covers 39 operations for the complete
    HIT lifecycle from creation through assignment review, worker management, and payment processing.
  humanURL: https://www.mturk.com/
  baseURL: https://mturk-requester.amazonaws.com
  tags:
  - Crowdsourcing
  - Human Intelligence
  - Machine Learning
  - Tasks
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/AWSMechTurk/latest/AWSMturkAPI/Welcome.html
  - type: OpenAPI
    url: openapi/amazon-mechanical-turk-openapi-original.yaml
  - type: GettingStarted
    url: https://www.mturk.com/get-started
  - type: Pricing
    url: https://www.mturk.com/pricing
  - type: FAQ
    url: https://www.mturk.com/faqs
  - type: JSONSchema
    url: json-schema/amazon-mechanical-turk-hit-schema.json
  - type: JSONStructure
    url: json-structure/amazon-mechanical-turk-hit-structure.json
  - type: JSONLD
    url: json-ld/amazon-mechanical-turk-context.jsonld
  - type: NaftikoCapability
    url: capabilities/amazon-mechanical-turk.yaml
common:
- type: Portal
  url: https://www.mturk.com/
- type: Documentation
  url: https://docs.aws.amazon.com/mturk/
- type: TermsOfService
  url: https://www.mturk.com/participation-agreement
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://www.mturk.com/contact
- type: Blog
  url: https://blog.mturk.com/
- type: GitHubOrganization
  url: https://github.com/aws
- type: SignUp
  url: https://www.mturk.com/get-started
- type: Login
  url: https://requester.mturk.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://www.mturk.com/contact
- type: SpectralRules
  url: rules/amazon-mechanical-turk-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-mechanical-turk-vocabulary.yaml
- type: Features
  data:
  - name: Human Intelligence Tasks (HITs)
    description: Create and manage discrete units of work distributed to the global MTurk worker population.
  - name: Qualification Types
    description: Define custom qualification tests and requirements to target the right worker pool for each task type.
  - name: Assignment Review and Approval
    description: Review submitted assignments and approve or reject work with feedback to workers.
  - name: Worker Bonuses
    description: Award bonus payments to workers for exceptional task completion beyond the base HIT reward.
  - name: Worker Notifications
    description: Send targeted messages to specific workers to communicate task updates or instructions.
  - name: Worker Blocks
    description: Prevent specific workers from accessing your HITs when quality does not meet requirements.
  - name: Sandbox Environment
    description: Test HIT templates and requester workflows using the MTurk sandbox before going to production.
- type: UseCases
  data:
  - name: Machine Learning Data Labeling
    description: Label images, text, audio, and video to create training datasets for machine learning models.
  - name: Content Moderation
    description: Review and moderate user-generated content for inappropriate material at scale.
  - name: Transcription Services
    description: Transcribe audio and video recordings using human workers for high accuracy.
  - name: Survey and Research Data Collection
    description: Conduct surveys and collect research data from a diverse global workforce.
  - name: Data Validation and Quality Assurance
    description: Validate and verify structured data for accuracy using human review.
  - name: Sentiment Analysis Training Data
    description: Generate labeled sentiment data for training NLP and sentiment analysis models.
- type: Integrations
  data:
  - name: Amazon SageMaker Ground Truth
    description: Use MTurk workers directly within SageMaker Ground Truth for ML data labeling jobs.
  - name: AWS Lambda
    description: Trigger Lambda functions on HIT completion events for automated downstream processing.
  - name: Amazon S3
    description: Store HIT input data and collect worker output files in S3 buckets.
  - name: Amazon CloudWatch
    description: Monitor MTurk task completion rates and worker performance metrics.
  - name: AWS IAM
    description: Control requester access to the MTurk API through IAM policies and roles.
maintainers:
- FN: Kin Lane
  email: [email protected]