SageMaker Workforce

SageMaker Workforce in AWS is a managed resource that defines a group of human labelers who can perform data labeling tasks for machine learning. It allows you to set up and manage workforces from your own employees, third-party vendors, or Amazon Mechanical Turk. This resource is used to organize, secure, and monitor labeling teams for tasks such as image classification, text annotation, and other supervised learning workflows.

aws.sagemaker_workforce

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
cognito_configcorejsonThe configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
create_datecoretimestampThe date that the workforce is created.
failure_reasoncorestringThe reason your workforce failed.
last_updated_datecoretimestampThe most recent date that UpdateWorkforce was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.
oidc_configcorejsonThe configuration of an OIDC Identity Provider (IdP) private workforce.
source_ip_configcorejsonA list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.
statuscorestringThe status of your workforce.
sub_domaincorestringThe subdomain for your OIDC Identity Provider.
tagscorehstore
workforce_arncorestringThe Amazon Resource Name (ARN) of the private workforce.
workforce_namecorestringThe name of the private workforce.
workforce_vpc_configcorejsonThe configuration of a VPC workforce.