Waymo and Zoox Test Drivers Suffer Injuries From Hard Braking, OSHA Data Shows

Test drivers for autonomous vehicle companies Waymo and Zoox sustained more than two dozen workplace injuries throughout 2024 and 2025 due to hard braking and sudden swerving, according to a review of Occupational Safety and Health Administration disclosures. Workers suffered sprains, strains, whiplash, and back pain, with some sidelined for weeks or months as robotaxis rapidly scaled operations.

OSHA Disclosures Reveal Hidden Workforce Toll

The rapid expansion of autonomous vehicle fleets across major urban markets has brought passenger and pedestrian safety metrics under intense scrutiny, but a newly surfaced human cost is emerging from behind the steering wheel. According to a TechCrunch review of OSHA disclosures, safety drivers tasked with monitoring self-driving systems on public roads experienced over two dozen occupational injuries across 2024 and 2025. These incidents involved sprains, strains, whiplash, and back pain brought on by abrupt longitudinal braking and rapid lateral maneuvers executed by the test vehicles.

The disclosures show that Transdev, the firm that employs and manages Waymo’s test drivers, reported 16 injuries connected to Waymo depot locations across three cities. Meanwhile, Zoox reported as many as eight worker injuries linked directly to hard braking events. Some affected contractors and workers were sidelined from their duties for weeks or months following these sudden vehicle movements.

The available public records do not capture a complete industrywide injury count. Waymo and Zoox appear in the dataset because they classify themselves under specific industrial codes such as taxi, limousine, or transit services. OSHA treats these sectors as higher-hazard industries subject to expanded disclosure requirements. Furthermore, federal regulations only mandate public reporting from establishments with at least 100 employees within those designated sectors. This threshold means that injuries occurring at smaller operations or newer testing locations frequently fail to appear in public datasets.

Operational Scaling and the Reality of Test Fleet Behavior

The surge in reported injuries tracks closely with aggressive fleet expansion. While Waymo spent more than a decade developing its autonomous driving stack, 2025 marked a period of rapid commercial scaling. The company expanded commercial ride-hailing services into new cities, grew its active commercial fleet to more than 1,500 vehicles by May 2025, and scaled past 3,500 vehicles shortly thereafter. As geographic footprints and testing miles multiplied, human operators faced increased exposure to complex edge cases on public roads.

Testing operations involve a mix of purpose-built robotaxis, such as Waymo’s Jaguar I-PACE fleet, and modified conventional vehicles like Toyota Highlander SUVs equipped with sensor systems. According to reporting by TechCrunch, testing in major operating markets like Los Angeles, Phoenix, and San Francisco exposed drivers to sudden vehicle corrections. Current and former Zoox contractors noted that test fleet vehicles were still braking hard and abruptly as recently as July, with workers continuing to experience physical injuries.

Photo: techcrunch.com

Zoox declined to answer specific questions regarding the injuries logged in regulatory filings or contractor claims about ongoing hard-braking issues. The company stated that it adheres to all necessary reporting requirements, treats workplace injuries with high priority, and views hard-braking incidents as sometimes unavoidable occurrences that represent a small fraction of the millions of miles traveled by its test fleet. Waymo also declined to comment on the specific OSHA disclosures, pointing instead to its broader safety and validation record. “The safety of our riders, road users, and team is of paramount importance,” Waymo stated to TechCrunch, emphasizing that tens of millions of miles driven with human operators serve as an ongoing validation process to refine autonomous software behavior.

The Broader Implications for Autonomous Vehicle Safety Assurance

For engineering teams designing safety-critical autonomy stacks, these disclosures force a shift in how operational safety is measured. Traditionally, validation frameworks focus heavily on collision avoidance, disengagement rates, and passenger ride comfort. However, the physical toll on test drivers introduces occupational health as a quantifiable metric for software performance.

Photo: letsdatascience.com

Abrupt longitudinal deceleration and rapid lateral jerks are measurable vehicle-control behaviors. Event logs, braking profiles, acceleration limits, and internal driver incident reports serve as vital inputs for safety assurance pipelines. As autonomous fleets scale to encompass millions of additional road miles and more diverse operating environments, exposure to rare control events increases proportionally. Public injury disclosures establish a clear workforce-safety outcome that regulators, fleet operators, and developers can monitor independently of standard driverless collision statistics.