14 data labeler jobs at 12 companies in Philadelphia, PA
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Data Center Technician - United States - Philadelphia - On-site
Philadelphia, Pennsylvania, United States
$25-$35/hrOnsiteMultiple Commitments Available
Reboot Monkey: Global provider of remote hands and data center management.
2+ YOE2+ years data center/IT infrastructure experience, strong cabling and server hardware skills, ability to lift 50+ lbs, own transportation, English proficiency; preferred DCIM, CCNA/Network+, and data center certifications.
Durand Glass Manufacturing Co.: Manufacturer of glass tableware and industrial glassware products.
Inspect and pack glassware to quality standards, prepare packaging, label and palletize products, follow 5S and safety protocols, and enter production data into computer systems.
Mako Medical: Providing clinical laboratory testing and medical diagnostic services.
Perform phlebotomy and specimen collection, complete accurate patient registration and data entry, process and label specimens, maintain logs, and work weekends/holidays/on-call as needed.
Durand Glass Manufacturing Company: Manufacturer of high-quality glass tableware and beverage products.
Inspect and pack glassware to quality standards, prepare packaging, apply labels, palletize, enter production data; able to lift up to 40 lbs and stand most of the day.
Mako Medical: Providing clinical laboratory testing and medical diagnostic services.
Perform phlebotomy and specimen collection, enter and verify patient and order data, process and label specimens, maintain logs, and provide customer-facing patient services in a fast-paced lab setting.
Drug Plastics & Glass: Manufactures specialized plastic bottles and closures for healthcare products.
Inspect and pack bottles into cartons, apply labels, enter production data, follow GMPs, perform basic math, communicate effectively, lift up to 55 lbs, and work overtime as required.
Carpenter Co.: Manufactures polyurethane foam and fiber products for comfort cushioning.
Perform cutting operations to customer specifications, record data in SAP, conduct material quality checks, follow work instructions, adjust cutting settings, label finished product, and read tape measure.
Carpenter Co.: Manufactures polyurethane foam and fiber products for comfort cushioning.
Performs cutting operations to customer specifications, records data in SAP, conducts material quality checks, follows work instructions, adjusts cutting for efficiency, labels finished product, and can read tape measure.
CSLASX: CSL: Global biotechnology developing and manufacturing protein-based therapies and vaccines.
High school diploma or equivalent; three months laboratory or warehouse experience preferred; ability to follow SOPs, perform sampling, labeling, data entry, equipment calibration, wear PPE, lift up to 25 lbs, and work overtime.
Globus MedicalNYSE: GMED: Manufactures medical devices and robotic systems for musculoskeletal surgery.
1+ YOEHigh school/GED and 1+ years related experience; proficiency with Microsoft Office and Excel; detail-oriented with data entry, labeling, packaging, receiving, and basic quality inspection skills; able to lift up to 25 lbs and meet vision requirements.
LabcorpNYSE: LH: Provides clinical laboratory testing and drug development services globally.
High school diploma/GED; comfortable handling biological specimens; accurate specimen identification/labeling, data entry and MS Office skills; able to lift 40lbs; pass color blindness test; preferred 1+ year lab/accessioning experience.
Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
8+ YOEBachelor's degree and 8+ years of related experience, including 2–4 years in supply chain. Requires data, project, regulatory compliance, ERP/SAP, GS1, and digital technology experience; PMP preferred.
GS1, ERP, SAP, Serialization, Unique Device Identification (UDI), Global Data Synchronization (GDS), GxP, blockchain, Cloud, RFID, Azure Cloud, PMP
Veeva SystemsNYSE: VEEV: Cloud-based software solutions for the global life sciences industry.
5+ YOE5+ years enterprise SaaS product/engineering/consulting experience with 2+ years on AI/ML, Python coding, AI agent design, data flow and model integration, strong communication and collaboration skills.