Career resources

Explore AI work by the task, not the job title

AI work can involve evaluating outputs, preparing data, building software, or designing workflows. Start with tasks you can demonstrate and check each employer's actual requirements.

Compare the work you would do

Job titles are inconsistent. Read the responsibilities and ask what artifact you would produce, how it is checked, and who owns the final decision.

  • Evaluation: compare responses using a rubric and explain evidence for each rating.
  • Data work: check quality, define fields, and document transformations.
  • Engineering: implement, test, and maintain a system around a defined interface.
  • Workflow design: define inputs, tools, review points, and failure handling.

Build a small evidence set

Choose one task you can finish with accessible, de-identified inputs. Keep the instructions, source material, output, checks, and limitations. A reproducible example shows more than listing an agent workflow's name as a credential.

Check the opportunity itself

Confirm the employer, application domain, country eligibility, contract terms, and payment arrangement. Thrive makes no job-demand or salary claim from its workflow catalog. An empty jobs collection means there are no published listings to inspect.

Choose a next action

Use the readiness scenarios to identify a practice topic, then complete a related portfolio task. Compare the evidence with a real role's requirements rather than treating an assessment score as a hiring decision.

Relevant skills

Relevant prompts

Related resources and tools