Imerys
Production Laborer
Sylacauga, Alabama, USA · Full-time
Sponsorship not specifiedDetected 36 days ago
Communication
About the role
- To provide clean-up, for production facilities.
- General clean-up and maintenance of site around offices, plant facilities, and
- Dumping trash and dump hoppers around offices and buildings
Requirements
- Verbal communication skills with comprehension skills are required.
- Must be able to comply with verbal and written work instructions and perform to
- pickup truck, and various hand tools is required
- Must be able to work in all local weather conditions.
- Must be able to lift 50lbs. or more, routinely during shifts.
- Requires the ability to read, write and perform basic math.
- Skills Requirement:
- Permanent
- Only technical issues will be monitored through the below inbox:
- recruiting.support@ imerys.com
- PLEASE DO NOT SUBMIT RESUMES OR APPLICATIONS TO THIS EMAIL, AS THEY WILL NOT BE REVIEWED.
Nice to have
- A knowledge of working machinery is preferred but not required.
Skills
- Work with minimal supervision (self directed) and function as a productive team
- meet production requirements.
- Must have good listening and verbal communication skills.
- Position Type
- Full time and
- Assisting with special projects requiring general skills
Benefits
- Must wear personal safety and health protection including head, eye, and footwear.
Company info
- Imerys is the world's leading supplier of mineral-based specialty solutions for the industry with €3.4 billion in revenue and 12,300 employees in 40 countries in 2025.
- Imerys draws on its understanding of applications, technological knowledge, and expertise in material science to deliver solutions which contribute essential to customers' products and their performance.
- As part of its commitment to responsible development, Imerys promotes environmentally friendly products and processes in addition to supporting its customers in their decarbonization efforts.
This listing is sourced directly from Imerys's careers page and normalized into a canonical job model.