Automation index
How much of a Occupational trainer’s job can AI already do?
A public syllabus and a test come earlier. A jobseeker leaving with a trade does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Occupational trainer
23%
AI can already do 23% of this job.
#295 / 633
View rankingOccupational trainer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Plan, rubrics and course paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Teach, tutor and hold the room.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 12% | +2.6 |
Placements, firms and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Assess, diplomas and evidence for the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Mixed group, absences and conflict.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not leaving someone without the certificate.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Plan, rubrics and course paperwork
- Teach, tutor and hold the room
- Placements, firms and follow-up
- Mixed group, absences and conflict
- formador ocupacional
- formador sepe
- occupational trainer
Sources for this job· O*NET 25-3021.00· ESCO/ISCO 2320
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 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