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.
#392 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120