Collect data related to ecological or human health risks at brownfield sites.
Work task
“Collect data related to ecological or human health risks at brownfield sites.” is a supplemental task performed by Occupational Health and Safety Technicians. Among the occupation's 26 rated tasks, workers place it 4th by importance (#23 most important). About 43% 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.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time 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 0.50. Automation potential label: T1.
Other tasks in this occupation
- Evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists. · importance 4.2
- Supply, operate, or maintain personal protective equipment. · importance 4.0
- Maintain all required environmental records and documentation. · importance 4.0
- Test workplaces for environmental hazards, such as exposure to radiation, chemical or biological hazards, or excessive noise. · importance 4.0
- Train workers in safety procedures related to green jobs, such as the use of fall protection devices or maintenance of proper ventilation during wind turbine construction. · importance 4.0
- Provide consultation to organizations or agencies on the workplace application of safety principles, practices, or techniques. · importance 4.0
- Inspect fire suppression systems or portable fire systems to ensure proper working order. · importance 3.9
- Verify availability or monitor use of safety equipment, such as hearing protection or respirators. · importance 3.8
- Prepare or review specifications or orders for the purchase of safety equipment, ensuring that proper features are present and that items conform to health and safety standards. · importance 3.8
- Recommend corrective measures to be applied based on results of environmental contaminant analyses. · importance 3.8
- Prepare or calibrate equipment used to collect or analyze samples. · importance 3.8
- Help direct rescue or firefighting operations in the event of a fire or an explosion. · importance 3.7
- Conduct worker studies to determine whether specific instances of disease or illness are job-related. · importance 3.6
- Plan emergency response drills. · importance 3.6
See all tasks on the Occupational Health and Safety Technicians 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.
Cite this page
Singulariki. "Collect data related to ecological or human health risks at brownfield sites.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-19814
Singulariki. (2026). Collect data related to ecological or human health risks at brownfield sites.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-19814
@misc{singulariki-task-19814,
title = {Collect data related to ecological or human health risks at brownfield sites.},
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-19814}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.