Automation index
How much of a Calibration technician’s job can AI already do?
A certificate comes earlier. The instrument measuring without signing blind do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Calibration technician
22%
AI can already do 22% of this job.
#383 / 633
View rankingCalibration technician
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 |
|---|---|---|---|
Standard, uncertainty and the certificate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Instrument, the adjust and the one that will not go.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Field, the one that cannot move and the portable standard.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Lab, the temperature and not skipping the soak.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The client, the rush and not signing blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it measures, and a true certificate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- standards
- uncertainty
- calibration certificates
- adjust
- instruments
- thermal soak
- metrology lab
- the field
Sources for this job· O*NET 17-3028.00· ESCO/ISCO 3111
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