Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.

“Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.” is a core task performed by Graders and Sorters, Agricultural Products. Among the occupation's 6 rated tasks, workers place it 3rd by importance (#4 most important). About 85% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Sort materials or products. in Processing Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E0. No direct exposure — current language models give little or no time savings on this task.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.00. Automation potential label: T0.

Other tasks in this occupation

• Place products in containers according to grade and mark grades on containers. · importance 4.6
• Weigh products or estimate their weight, visually or by feel. · importance 4.5
• Discard inferior or defective products or foreign matter, and place acceptable products in containers for further processing. · importance 4.4
• Record grade or identification numbers on tags or on shipping, receiving, or sales sheets. · importance 4.2
• Separate fiber tufts between fingers to assess strength, uniformity, and cohesive quality of fibers.

See all tasks on the Graders and Sorters, Agricultural Products page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-13349,
  title  = {Grade and sort products according to factors such as color, species, length, width, appearance, feel, smell, and quality to ensure correct processing and usage.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-13349}
}