Elementary occupations · code 9329
Manufacturing labourers not elsewhere classified
Manufacturing labourers not elsewhere classified assist the work of machine operators and assemblers and perform a variety of simple and routine manual tasks in manufacturing, excluding packing and labelling finished products. Tasks include - (a) conveying goods, material, equipment and other items to work areas, and removing finished pieces; (b) loading and unloading vehicles, trucks and trolleys; (c) clearing machine blockages, and cleaning machinery, equipment and tools; (d) carrying out manual sorting of products or components. Examples of the occupations classified here: - Bottle sorter - Factory hand - Material handler - Stacker Some related occupations classified elsewhere: - Electrical equipment assembler - 8212 - Electronic equipment assembler - 8212 - Leather products assembler - 8219 - Rubber products assembler - 8219 - Hand packer - 9321
None of this job's tasks scored high enough to count. It ranks 33 of 427 for holding up against AI.
Also known as
- wood caulker
- factory hand
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 12 of 100, on average
so it holds up at 100 − 12 = 88
That's the whole sum, and you can check it against the ILO's study.
out of 100
From O*NET, averaged across 6 US jobs
and cramped
finger skill 43.1 · hand skill 44.2 · cramped spaces 26.8 · averaged
Kind of hands-on work · hands-on 50+ · fiddly under 39.4 Hands-on, less fiddly work
Less fine handwork and fewer cramped spaces than a typical hands-on job. That clears one hurdle for machines. It doesn't mean machines are doing this work yet.
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 65.2 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 14.3, while the average is 12. 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.
- 14.3
Carrying out manual sorting of products or components.
Very Low - 12
Clearing machine blockages, cleaning machinery, equipment and tools
Very Low - 11
Conveying goods, material, equipment and other items to work areas, and removing finished pieces
Very Low - 10.8
Loading and unloading vehicles, trucks and trolleys
Very Low
4 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.
6 Australian jobs match this one, and we've simply averaged them. Treat the numbers as a rough guide.
- AI helps you
- 48.7
- AI does it for you
- 23.5
Helping wins by 25.2 points.
estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 7411, 8391, 8392, 8394, 8399, 8995
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
- Mining and quarrying labourers 89.1
- 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
- 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