IS WORK OVER?

Automation index

How much of a Prison educator’s job can AI already do?

A wing pathway comes earlier. Being in the yard so the workshop does not go sideways do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Prison educator

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Programmes, reports and the treatment board.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Wing, yard and the fight that blows up.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Workshop, studies and the one who shows up.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Family, leave and the note to the lawyer.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The hard inmate and not losing authority.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
The bond inside, and it not being paper.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • treatment programmes
  • prison workshops
  • the yard
  • treatment board
  • leave reports
  • the wing
  • prison study
  • yard conflict

Sources for this job· O*NET 21-1092.00· ESCO/ISCO 2635

Prompt engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Design prompts, tools and chains.
Estimate

No public source provides a precise figure. This is our estimate.

24%58%+13.9
Evals, datasets and regressions.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Integrate with product and safety limits.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Talk to the business about a good output.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Watch hallucinations, bias and cost.
Estimate

No public source provides a precise figure. This is our estimate.

14%20%+2.8
Decide what the model gets, and what it does not.
Estimate

No public source provides a precise figure. This is our estimate.

12%16%+1.9
Total100%34%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Design prompts, tools and chains
  • Evals, datasets and regressions
  • Integrate with product and safety limits
  • Talk to the business about a good output
  • Watch hallucinations, bias and cost
  • prompt engineer
  • ingeniero de prompts
  • llm engineer

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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