Lesson 04: The cleared AI role landscape

The video explains the main idea. Use the sources, instructions and checks below to complete the practice.

Read the work behind the title. Build a judgment you can explain and a result another reader can inspect.

Prerequisites: know the difference between generated text and source evidence. For configuration vocabulary, use the AI workflow reference. This is public self-study, not official government training, accreditation, a clearance or a professional credential.

Observable outcomes: Compare postings by tasks rather than titles; label artifact support as demonstrated, partial or absent and choose a concrete gap milestone.

Part 1 Read the work behind the title

Compare postings by tasks, outputs, autonomy, technical environment, authorized access and required experience. Applied engineering usually needs executable implementation evidence; platform work needs serving and recovery; security work needs adversarial tests and control implementation; mission analysis needs domain and source judgment. A course artifact establishes the tasks it actually demonstrates.

Employer categories help generate questions rather than predict a uniform experience. Government roles have position-specific qualification and pay rules; contractors may depend on awards and recompetes; research organizations may emphasize scientific evidence; small firms can offer broad ownership with resource uncertainty. Do not rely on unsourced salary bands, guaranteed clearance premiums or referral success ratios. Use dated official postings and distinguish base pay, variable pay and equity when comparing actual offers.

Part 2 Synthetic worked example

Fictional postings both say AI engineer. A requires Python services, release tests and on-call support. B requires policy research and source verification. Riley can defend a policy comparison and a synthetic answer audit, but cannot yet demonstrate deployment recovery. B has stronger current evidence; A becomes a learning target.

Guided practice: write the tempting conclusion first, then underline the fact that does not support it. Rewrite the conclusion with that limitation visible. Identify one additional observation that would change the decision.

Practice exercise · 30 MIN

Independent synthetic practice

Write two fictional postings with five requirements each. Map each requirement to demonstrated, partial or absent evidence. Propose a two-week artifact for the most important gap without applying or contacting anyone.

Use paper or a local notes file. All names, records and outcomes are invented. No model account, API, installation, paid service or private file is needed. If you optionally use an assistant on these synthetic cases, keep its output as an unverified draft and apply the same review.

Answer feedback and acceptance: Pass when each demonstrated claim names an inspectable artifact and partial evidence stays partial. Feedback: a synthetic demo does not become production experience; a job title does not define a common qualification standard.

Retry: explain the failed criterion, repair the artifact and test a new invented case with a different boundary or consequence.

Next step: carry your artifact into credential selection in lesson 05; retain assumptions and unanswered questions.

The cleared AI role landscape

Choose roles by their work, not by a shared AI title.

A made-up teaching example

Ask yourself

Start with these checks

The cleared AI role landscape

0:00 · What you will learn

0:06 · The idea

0:19 · One useful term

0:27 · A worked example

0:43 · Your turn to think

1:01 · Why this answer works

1:09 · Check 1

1:15 · Check 2

1:19 · Check 3

1:25 · Now try a different case

Part 1 Read the work behind the title

Part 2 Synthetic worked example