Develop and conduct tests to evaluate product safety levels and recommend measures to reduce or eliminate hazards.
U.S. Workers
23,220
Median Salary
$109,660
10-Year Growth
+4.4%
Annual Openings
1,500
Typical entry: Bachelor's degree
8 of 9 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Report accident investigation findings.
AI: Fully automatable - Given investigation data, AI can reliably synthesize findings into clear, structured reports meeting typical regulatory and organizational formats.
Recommend procedures for detection, prevention, and elimination of physical, chemical, or other product hazards.
AI: Fully automatable - AI can generate detailed, standards‑aligned recommendations for detection, prevention, and elimination of product hazards based on available data and best practices.
Investigate causes of accidents, injuries, or illnesses related to product usage to develop solutions to minimize or prevent recurrence.
AI: Partial - AI can process incident reports, identify patterns, and propose likely causes and mitigations, but cannot perform on‑site evidence collection and physical examinations necessary for a complete investigation.
Conduct research to evaluate safety levels for products.
AI: Partial - AI can run simulations, compare products to standards, and synthesize research, yet physical testing and empirical validation remain necessary parts of fully evaluating product safety.
Evaluate product designs for safety.
AI: Partial - AI can analyze designs, run virtual hazard analyses, and flag likely safety issues, but final safety validation and complex judgment calls often require human engineers and physical testing.
Evaluate potential health hazards or damage that could occur from product misuse.
AI: Partial - AI can analyze incident data, literature, and simulated misuse scenarios to identify likely hazards, but it lacks the hands‑on testing and final expert judgment to fully replace human evaluation.
Participate in preparation of product usage and precautionary label instructions.
AI: Partial - AI can draft compliant usage and precautionary label text from regulations and product data, but regulatory sign‑off and nuanced human review are typically required before finalization.
Develop industry standards of product safety.
AI: Partial - AI can draft candidate standards and analyze data to support standard development, but it cannot convene stakeholders or drive the consensus and institutional decision‑making needed to finalize industry standards.
Provide expert testimony in litigation cases.
AI: Not automatable - AI cannot serve as a recognized human expert witness or reliably withstand live cross‑examination and the legal responsibilities that accompany expert testimony.