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Professionals · code 2356

Information technology trainers

Information technology trainers develop, schedule and conduct training programmes and courses for computer and other information technology users outside the mainstream primary, secondary and higher education systems. Tasks include - (a) identifying the information technology training needs and requirements of individual users and organizations; (b) preparing and developing instructional training material and aids such as handbooks, visual aids, online tutorials, demonstration models and supporting training reference documentation; (c) designing, coordinating, scheduling and conducting training and development programmes that can be delivered in the form of individual and group instruction, and facilitating workshop meetings, demonstrations and conferences; (d) monitoring and performing ongoing evaluation and assessment of training quality and effectiveness, and reviewing and modifying training objectives, methods and course deliverables; (e) gathering, investigating and researching background materials to gain a full understanding of the subject matter and systems; (f) keeping up to date with new product version releases, advances in software and general information technology trends, writing end user products and materials such as user training, tutorial and instruction manuals, online help, and operating and maintenance instructions. Examples of the occupations classified here: - Computer trainer - Software trainer Some related occupations classified elsewhere: - University lecturer - 2310 - Vocational education teacher - 2320 - Secondary school teacher - 2330 - Primary school teacher - 2341 - Staff development officer - 2424

A good share of the tasks are affected. It ranks 362 of 427 for holding up against AI.

Also known as

  • ICT trainer

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

53
Holds up
against AI Exposed: Gradient 2

AI could take on 47 of 100, on average
so it holds up at 100 − 47 = 53

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

19.3
How hands-on
out of 100

From O*NET, matched to one US job

6.4
How fiddly
and cramped

finger skill 16 · hand skill 0 · cramped spaces 3.2 · 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 19.3 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 58.5, while the average is 47. 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. 58.5

    Keeping up-to-date with new product version releases, advances in software, and general information technology trends, writing end user products and materials such as user training, tutorial and instruction manuals, online help, and operating and maintenance instructions.

    Medium
  2. 56

    Gathering, investigating and researching background materials to gain a full understanding of the subject matter and systems

    Medium
  3. 53

    Preparing and developing instructional training material and aids such as handbooks, visual aids, online tutorials, demonstration models, and supporting training reference documentation

    Medium
  4. 41.5

    Identifying the information technology training needs and requirements of individual users and organizations

    Low
  5. 37

    Monitoring and performing ongoing evaluation and assessment of training quality and effectiveness, and reviewing and modifying training objectives, methods and course deliverables

    Low
  6. 36

    Designing, coordinating, scheduling and conducting training and development programmes that can be delivered in the form of individual and group instruction, and facilitating workshops meetings; demonstrations and conferences

    Low

6 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 this one closely, so this is about as reliable as it gets here.

AI helps you
76
AI does it for you
57

Helping wins by 19 points.

estimated Our Gen AI Transition (Gen AI Capacity Study) September 2025 detailed data release data 0.7-work-setting matched to Australian jobs 2233

Compared with similar jobs

There are 92 jobs in the “Professionals” group, averaging 61.4. This one is below that.