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Guides to getting started in AI training work

If you’re weighing up AI training work, these guides walk through the parts people find least clear: how you actually get taken on, what the interviews test, and whether the work suits how you like to operate. Read them before you apply and you’ll go in knowing what to expect.

Much of this material was first written for clinicians, since that’s where the site started. The specifics use clinical examples, but the process is the same whatever your field. The platforms, the staged assessments, and the talent-pool model work the same way for a finance expert or a software engineer as they do for a doctor.

Start here

New to the whole idea? These explain what the work is and how you get in.

Passing the assessment

Most of the filtering happens at the interview and assessment stage. These two guides cover what’s tested and how to prepare.

Is it right for you?

The work suits some people far better than others. These are honest about the trade-offs before you commit time to applying.

Learning the basics first

Some background in AI concepts can strengthen an application. These courses are free to access, with optional paid certificates.

Still have questions?

The FAQ covers eligibility, pay, whether patient or client data is involved, and how the referral works. When you’re ready to apply, start with the onboarding guide or search every live role.

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