IS WORK OVER?

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

Calibration 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.

TaskShareAIPoints
Standard, uncertainty and the certificate.
Estimate

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

16%40%+6.4
Instrument, the adjust and the one that will not go.
Estimate

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

18%14%+2.5
Field, the one that cannot move and the portable standard.
Estimate

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

16%28%+4.5
Lab, the temperature and not skipping the soak.
Estimate

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

16%22%+3.5
The client, the rush and not signing blind.
Estimate

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

18%18%+3.2
That it measures, and a true certificate.
Estimate

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

16%12%+1.9
Total100%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

Statistician

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
Model, clean and visualise.
Estimate

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

20%48%+9.6
Design sample, experiment and biases.
Estimate

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

16%32%+5.1
Client, questions and not overfitting.
Estimate

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

16%22%+3.5
Reproducibility, code and documentation.
Estimate

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

16%18%+2.9
Publication, review and data ethics.
Estimate

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

16%16%+2.6
Not selling a p-value that does not hold.
Estimate

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

16%14%+2.2
Total100%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

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