Elementary occupations · code 9311
Mining and quarrying labourers
Mining and quarrying labourers perform routine tasks in mining and quarrying operations. Tasks include - (a) assisting miners and quarriers in maintaining machinery, equipment, and mine and quarry installations; (b) assembling and dismantling mining equipment; (c) removing tunnel supports from disused workings in mines and quarries; (d) removing dangerous projections from mine and quarry workings; (e) removing waste and serviceable materials and equipment from work areas after extraction activities have been completed, and clearing rock and mineral spills; (f) cleaning machinery, equipment, tools, roadways and haulage tracks; (g) sorting, loading, unloading, stacking and storing tools, materials and supplies used by other mine workers. Examples of the occupations classified here: - Mining labourer - Quarry labourer Some related occupations classified elsewhere: - Driller (mining) - 8111 - Miner - 8111 - Mining plant operator - 8111 - Quarrier - 8111 - Driller (oil or gas well) - 8113 - Drilling plant operator - 8113
None of this job's tasks scored high enough to count. It ranks 17 of 427 for holding up against AI.
Also known as
- mining assistant
Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.
against AI Not Exposed
AI could take on 10.9 of 100, on average
so it holds up at 100 − 10.9 = 89.1
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, matched to one US job
and cramped
finger skill 46.4 · hand skill 46.4 · cramped spaces 59.5 · averaged
Kind of hands-on work · hands-on 50+ · caring 4+ of 7 Hands-on, helping and caring for others
Physical work where helping and caring for people is a big part of the job. For care work, whether a machine could do the movements is only half the question. The other half is whether anyone wants one to. The US data counts helping workmates too, so a few trades end up here.
estimated O*NET 31.0 BLS occupational crosswalk chain ISCO-08 to 2010 SOC (Aug 2012, rev. Jun 2015); 2010 to 2018 SOC (Nov 2017); O*NET-SOC 2019 taxonomy data 0.7-work-setting measures chosen by Frey & Osborne (2017) · the grouping is a sorting, not a measurement
This number is probably too high
This score only looks at AI tools like chatbots. It doesn't look at robots at all — and this job rates 90.9 out of 100 for how hands-on it is, which is exactly where robots come in.
Have a look at the tasks below and judge for yourself. The ILO scored them low because a chatbot can't do them. Whether a machine with hands could is a different question, and we can't answer it yet.
The tasks behind the score
The score is the average of these. A job is really a bundle of tasks, and an average can hide how uneven that bundle is.
The task AI could do most of scores 13.8, while the average is 10.9. A big gap means some of this job is wide open to AI and some of it barely at all. That's quite different from a job where everything sits somewhere in the middle, even when the averages match.
- 13.8
Assisting miners and quarriers in maintaining machinery, equipment, and mine and quarry installations
Very Low - 12.5
Assembling and dismantling mining equipment
Very Low - 11
Removing waste and serviceable materials and equipment from work areas after extraction activities have been completed, and clearing rock and mineral spills
Very Low - 10.8
Sorting, loading, unloading, stacking and storing tools, materials and supplies used by other mine workers.
Very Low - 10.5
Cleaning machinery, equipment, tools, roadways and haulage tracks
Very Low - 9.5
Removing tunnel supports from disused workings in mines and quarries
Very Low - 8.2
Removing dangerous projections from mine and quarry workings
Very Low
7 tasks · the High to Very Low labels are the ILO's
from the source Working Paper 140, Generative AI and Jobs 2025 index data 0.7-work-setting
Helped, or replaced?
The score above can't tell a tool that makes you faster from one that does the task instead of you. Jobs and Skills Australia looked at those two things separately, and this is their result, matched to this job.
One Australian job matches, but only partly: not everyone in it does this job. Treat the numbers as a rough guide.
- AI helps you
- 40
- AI does it for you
- 18
Helping wins by 22 points.
estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 8219
Compared with similar jobs
There are 33 jobs in the “Elementary occupations” group, averaging 84.9. This one is above that.
- Vehicle cleaners 91.1
- Water and firewood collectors 91.1
- Crop farm labourers 90.9
- Garbage and recycling collectors 90.8
- Civil engineering labourers 90.7
- Forestry labourers 90.6
- Building construction labourers 90.6
- Sweepers and related labourers 90.6
- Other cleaning workers 89.8
- Odd job persons 89
- Window cleaners 88.9
- Fishery and aquaculture labourers 88.9
- Mixed crop and livestock farm laboure… 88.7
- Garden and horticultural labourers 88.4
- Cleaners and helpers in offices, hote… 88.1
- Livestock farm labourers 88.1
- Manufacturing labourers not elsewhere… 88
- Kitchen helpers 87
- Drivers of animal-drawn vehicles and … 86.8
- Freight handlers 85.9
- Domestic cleaners and helpers 85.7
- Hand launderers and pressers 85.6
- Street and related service workers 82.1
- Refuse sorters 81.9
- Fast food preparers 81.7
- Hand packers 80.2
- Shelf fillers 79.5
- Street vendors (excluding food) 79.5