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AI Automation Index
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Hazardous Materials Removal Workers. Run the upskilling simulator.
AI Vulnerability
Median Salary
Growth Demand
We parsed O*NET's 21 constituent tasks for this occupation and classified them by AI threat risk.
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Simulate Upskilling →Build containment areas prior to beginning abatement or decontamination work.
Semi-structured task combining routine and non-routine responsibilities.
Remove asbestos or lead from surfaces, using hand or power tools such as scrapers, vacuums, or high-pressure sprayers.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Identify asbestos, lead, or other hazardous materials to be removed, using monitoring devices.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Prepare hazardous material for removal or storage.
Semi-structured task combining routine and non-routine responsibilities.
Comply with prescribed safety procedures or federal laws regulating waste disposal methods.
Semi-structured task combining routine and non-routine responsibilities.
Load or unload materials into containers or onto trucks, using hoists or forklifts.
Semi-structured task combining routine and non-routine responsibilities.
Clean contaminated equipment or areas for reuse, using detergents or solvents, sandblasters, filter pumps, or steam cleaners.
Semi-structured task combining routine and non-routine responsibilities.
Remove or limit contamination following emergencies involving hazardous substances.
Semi-structured task combining routine and non-routine responsibilities.
Clean mold-contaminated sites by removing damaged porous materials or thoroughly cleaning all contaminated nonporous materials.
Semi-structured task combining routine and non-routine responsibilities.
Operate machines or equipment to remove, package, store, or transport loads of waste materials.
Semi-structured task combining routine and non-routine responsibilities.
Record numbers of containers stored at disposal sites, specifying amounts or types of equipment or waste disposed.
Routine cognitive or manual task with high vulnerability to automation.
Sort specialized hazardous waste at landfills or disposal centers, following proper disposal procedures.
Semi-structured task combining routine and non-routine responsibilities.
Operate cranes to move or load baskets, casks, or canisters.
Semi-structured task combining routine and non-routine responsibilities.
Drive trucks or other heavy equipment to convey contaminated waste to designated sea or ground locations.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Identify or separate waste products or materials for recycling or reuse.
Semi-structured task combining routine and non-routine responsibilities.
Upload baskets of irradiated elements onto machines that insert fuel elements into canisters and secure lids.
Semi-structured task combining routine and non-routine responsibilities.
Process e-waste, such as computer components containing lead or mercury.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Organize or track the locations of hazardous items in landfills.
Semi-structured task combining routine and non-routine responsibilities.
Mix or pour concrete into forms to encase waste material for disposal.
Semi-structured task combining routine and non-routine responsibilities.
Apply bioremediation techniques to hazardous wastes to allow naturally occurring bacteria to break down toxic substances.
Semi-structured task combining routine and non-routine responsibilities.
Package, store, or move irradiated fuel elements in the underwater storage basins of nuclear reactor plants, using machines or equipment.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
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Do you agree with the AI automation risk score calculated for this occupation?
O*NET Methodology
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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