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Clerical support workers · code 4413

Coding, proof-reading and related clerks

Coding, proofreading and related clerks convert information into codes, verify and correct proofs, and perform a number of miscellaneous clerical duties. Tasks include - (a) converting information into codes and classifying information by codes for data-processing purposes; (b) comparing proofs of texts and related material prepared for printing with original material, correcting errors and marking texts for printer according to the established rules; (c) sorting forms and marking them with identification numbers; (d) sorting documents for filing or to collate sets of pages; (e) addressing circulars and envelopes by hand. Examples of the occupations classified here: - Coding clerk - Proofreading clerk

Most of the tasks are affected. It ranks 382 of 427 for holding up against AI.

Also known as

  • proofreader

Job titles from the EU's ESCO list. Search for any of them on the jobs page and you'll end up here.

48.5
Holds up
against AI Exposed: Gradient 3

AI could take on 51.5 of 100, on average
so it holds up at 100 − 51.5 = 48.5

That's the whole sum, and you can check it against the ILO's study.

6.3
How hands-on
out of 100

From O*NET, matched to one US job

12.3
How fiddly
and cramped

finger skill 19.7 · hand skill 14.3 · cramped spaces 3 · averaged

Kind of hands-on work · hands-on under 50 Less than half hands-on

Less than half of this job is hands-on. Robots still matter, but for a smaller part of the work, so we don't sort it any further.

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

What this number leaves out This job rates 6.3 out of 100 for how hands-on it is. The score above only looks at AI tools, not robots, but for work this far from the physical that matters less.

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 69.8, while the average is 51.5. 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.

  1. 69.8

    Converting information into codes and classifying information by codes for data-processing purposes

    Medium
  2. 67.5

    Comparing proofs of texts and related material prepared for printing with original material, correcting errors and marking texts for printer according to the established rules

    Medium
  3. 60

    Sorting documents for filing or to collate sets of pages

    Medium
  4. 35

    Sorting forms and marking them with identification numbers

    Low
  5. 25

    Addressing circulars and envelopes by hand.

    Low

5 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
75
AI does it for you
68

Helping wins by 7 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 5999

Compared with similar jobs

There are 29 jobs in the “Clerical support workers” group, averaging 46.5. This one is above that.