Find & Apply For Quality Inspector / Technician Jobs In Newberry, South Carolina
Quality Inspector / Technician jobs in Newberry, South Carolina involve inspecting, testing, and evaluating products to ensure they meet quality standards. Responsibilities include identifying defects, documenting findings, and collaborating with production teams to resolve issues. These roles require attention to detail, strong analytical skills, and the ability to work effectively in a fast-paced environment. Below you can find different Quality Inspector / Technician positions in Newberry, South Carolina.
Jobs in Newberry
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Quality Assurance Technician – 2nd shift – 3pm – 11pm – 8 hr – $21.70/hr+*
Pioneer Frozen Foods South Carolina
Newberry, SC
Quality Assurance Technician
Pioneer Frozen Foods South Carolina
Newberry, SC
PT Quality Assurance Associate
Food Lion
Newberry, SC
RTE Quality Tech
Kraft Heinz
Newberry, SC
Latest Jobs in Newberry
Salary Information & Job Trends In this Region
Quality Inspectors / Technicians in Newberry, South Carolina play a crucial role in ensuring product quality and compliance with industry standards. - Entry-level Quality Inspector salaries range from $30,000 to $40,000 per year - Mid-career Quality Technician salaries range from $40,000 to $55,000 per year - Senior-level Quality Assurance Specialist salaries range from $55,000 to $70,000 per year The history of Quality Inspectors in Newberry, South Carolina can be traced back to the industrial revolution when quality control processes became essential for mass production industries. As technology advanced, the role of Quality Inspectors evolved to incorporate automated inspection tools and data analysis techniques to improve efficiency and accuracy in the manufacturing process. Current trends in Quality Inspection in Newberry, South Carolina include the integration of artificial intelligence and machine learning algorithms for predictive maintenance and defect detection, as well as a growing emphasis on sustainability and environmental impact in manufacturing processes.
