FedEx

Dangerous Goods Agt/DOT

Northwood, OH, US · Part-time

Sponsorship not specified$0k-$0kDetected 19 days ago

Express

About the role

Ability to read and speak the English language sufficiently to understand traffic signs, communicate with traffic safety officials and to respond to official inquiries and directions in accordance with FMCSA enforcement guidance.

5082 Job Duties Ensures safe and legal handling of dangerous goods and related paperwork
Experience with computer, i.e., mainframe, pc, internet/intranet preferred.
Knowledge, Skills and Abilities Related knowledge of shipping or processing dangerous goods packages strongly preferred.
Ability to lift 50 lbs.
Ability to maneuver packages of any weight above 50 lbs with appropriate equipment and/or assistance from another person.
Ability to complete all basic and re-currency training for dangerous goods.
Job Conditions Must be able to read and understand manuals, regulations, charts and tables, and effectively communicate verbally in a time-sensitive manner in a noisy operations environment.
Current DG certification preferred.

$19.34 / hour Additional Details: Part-time, Mon-Fri 1500-2030.
The desired location for this position would be Northwood, OH.
Employees will be required to work at the FedEx location five days a week.
The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations.
If this opportunity includes multiple job levels, the pay information represents the ranges for each level in that job family.
Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Equal Opportunity Employer including, Vets/Disability.

This listing is sourced directly from FedEx's careers page and normalized into a canonical job model.