Supervise and provide instructions for workers collecting and tabulating data.

“Supervise and provide instructions for workers collecting and tabulating data.” is a core task performed by Statisticians. Among the occupation's 19 rated tasks, workers place it 1st by importance (#19 most important). About 86% 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.

• Supervise personnel activities. in Guiding, Directing, and Motivating Subordinates

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.

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 1.00. Automation potential label: T2.

Other tasks in this occupation

• Analyze and interpret statistical data to identify significant differences in relationships among sources of information. · importance 4.7
• Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. · importance 4.7
• Report results of statistical analyses, including information in the form of graphs, charts, and tables. · importance 4.5
• Determine whether statistical methods are appropriate, based on user needs or research questions of interest. · importance 4.5
• Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. · importance 4.5
• Develop and test experimental designs, sampling techniques, and analytical methods. · importance 4.4
• Identify relationships and trends in data, as well as any factors that could affect the results of research. · importance 4.3
• Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. · importance 4.3
• Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. · importance 4.3
• Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. · importance 4.3
• Evaluate sources of information to determine any limitations, in terms of reliability or usability. · importance 4.1
• Process large amounts of data for statistical modeling and graphic analysis, using computers. · importance 4.0
• Develop software applications or programming for statistical modeling and graphic analysis. · importance 3.9
• Report results of statistical analyses in peer-reviewed papers and technical manuals. · importance 3.9

See all tasks on the Statisticians 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-8963,
  title  = {Supervise and provide instructions for workers collecting and tabulating data.},
  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-8963}
}