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Application, assessment, safety, and follow-up checklists

Checkboxes stay in this browser and are never sent to Specialist AI Work or a platform. These lists organize questions to verify; they do not decide whether you qualify or guarantee work.

Start with readiness

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AI evaluator application readiness

Use this before opening a role-specific application. It helps separate evidence you can honestly present from requirements you still need to verify.

AI evaluator application readiness
Use AI Work Match

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Before an unpaid assessment

An assessment may be legitimate, but its scope and data handling should still be proportionate. Pause when the task looks like production work without clear limits.

Before an unpaid assessment

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AI interview or recorded response

Recorded screening can involve voice, video, identity, and retention questions. Verify what is required before consenting or recording.

AI interview or recorded response
Review assessment formats

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Identity verification safety

Identity checks can be part of legitimate onboarding, but the request should come from the verified platform flow and explain who processes the data.

Identity verification safety
Read the identity safety guide

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First payment setup

Payment setup is easier to audit when you record the agreement and provider terms before completing work.

First payment setup

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Accepted but no tasks

Acceptance often means access to a pool, not guaranteed assignments. Use a measured routine instead of repeatedly refreshing or assuming a technical problem.

Accepted but no tasks

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Weekly multi-platform routine

A short recurring review reduces missed follow-ups without turning unstable project work into an all-day refresh habit.

Weekly multi-platform routine
Open the weekly tracker guide

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Application follow-up

Follow up only through a documented channel and keep the message brief. Silence does not prove rejection, but repeated unsolicited contact rarely improves screening.

Application follow-up
Use the browser-local tracker