Automation index
How much of a Reliability engineer’s job can AI already do?
An MTBF comes earlier. It not dropping at three without hiding the spare do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Reliability engineer
27%
AI can already do 27% of this job.
#177 / 753
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
IS WORK OVER?
Geomatics engineer
22%
#402 / 753
View rankingGeomatics 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 |
|---|---|---|---|
Station, the base and the cloud.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the axis and the one that moved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Model, the drift and not hiding metres.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Works, the setting-out and going down to see it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The contractor, the rush and not signing the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the axis is there, and not signing metres.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
- point clouds
- total stations
- axes
- setting-out
- drift
- bases
- geomatics
- the field
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165