Inspected printed materials or other images to verify quality

Little of this can be handed to software today.

This happens in the physical world, so software agents do not touch it. Automation here means robotics and machinery, which is a different market from the one mapped on this site, on a much slower clock.

Key facts about this work activity
How automatableBarely automatable
Kind of workPhysical, manual and inspection work
Jobs that do it6 occupations
Tool categories that applyNone
O*NET activityInspecting Equipment, Structures, or Materials (4.A.1.b.2)

What this looks like on the job

Not our paraphrase. These are real task statements recorded against this activity, spread across the 6 occupations that perform it.

  • Proofread and perform quality control of text and images.
  • Collect and inspect random samples during print runs to identify any necessary adjustments.
  • Examine stitched, collated, bound, or unbound product samples for defects, such as imperfect bindings, ink spots, torn pages, loose pages, or loose or uncut threads.
  • Examine sketches, sample articles, and design specifications to determine quantities, shapes, and sizes of pattern parts, and to determine the amount of material or fabric required to make a product.
  • Examine developed prints for defects, such as broken lines, spots, or blurs.
  • Print proofs or examine designs to verify accuracy of engraving, and rework engraving as required.
  • Examine photographic images for obvious imperfections prior to plate making.
  • Start presses and pull proofs to check for ink coverage and density, alignment, and registration.
  • Review computer-processed digital images for quality.
  • Analyze originals to evaluate color density, gradation highlights, middle tones, and shadows, using densitometers and knowledge of light and color.
  • Examine drawings, negatives, or photographic prints to determine coloring, shading, accenting, or other changes required for retouching or restoration.
  • Examine quality of film fades or dissolves for potential color corrections, using color analyzers.

What we would actually use

Nothing in our landscape addresses this work. That is the honest answer rather than a padded list: this activity needs a person present, or a machine rather than a software agent.

Our pickBuy nothing

Nothing on this site applies. Automation here is robotics and machinery, a different market on a much slower clock, and no software subscription moves it.

Chosen for the cheapest thing that does the job, not the best funded. Nothing on this site is sponsored, and the full landscape is there when you want to disagree with us.

Method. The activity, its taxonomy placement and the occupations that perform it come straight from the public-domain O*NET 30.3 database. The automatability band is ours: we map each of O*NET’s 41 generalized work activities to how much of its output current software can produce, assuming a person still reviews and owns the result. It is a coarse three-way judgment on purpose. A precise-looking percentage here would be invented.