Google's Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
References:
-> https://cloud.google.com/vertex-ai/docs/datasets/data-labeling-job
-> https://cloud.google.com/ai-platform/data-labeling/docs

What is Infrastructure as a service :
IaaS (infrastructure as a service) is a computing model that offers resources on-demand to businesses and individuals via the cloud.
IaaS is attractive because acquiring computing resources to run applications or store data the traditional way requires time and capital. Enterprises must purchase equipment through procurement processes that can take months. They must invest in physical spaces: typically specialized rooms with power and cooling. And after deploying the systems, enterprises need IT, professionals, to manage them.
All this is challenging to scale when demand spikes or the business grows. Enterprises risk running out of capacity or overbuilding and ending up with infrastructure that suffers from low utilization.
These challenges are why IaaS use is steadily growing. Learn more about Compute Engine, Cloud Storage, etc.

Because automation is a transformational approach which ensures changes are constant and low-risk.

These are the feature of Infrastructure as a Service (IaaS)
It's economical
Because IaaS resources are used on demand and enterprises only have to pay for the compute, storage, and networking resources that are actually used, IaaS costs are fairly predictable and can be easily contained and budgeted for.
It's efficient
IaaS resources are regularly available to businesses when they need them. As a result, enterprises reduce delays when expanding infrastructure and, alternatively, don't waste resources by overbuilding capacity.
It boosts productivity
Because the cloud provider is responsible for setting up and maintaining the underlying physical infrastructure, enterprise IT departments save time and money and can redirect resources to more strategic activities.
It's reliable
IaaS has no single point of failure. Even if any one component of the hardware resources fails, the service will usually still remain available.
It's scalable
One of the biggest advantages of IaaS in cloud computing is the capability to scale the resources up and down rapidly according to the needs of the enterprise.
It drives faster time to market
Because IaaS offers virtually infinite flexibility and scalability, enterprises can get their work done more efficiently, ensuring faster development life cycles.