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Factory Jobs in Charleston, SC (NOW HIRING)

MUSC

Lead - Biomedical Data Factory Team

Charleston, SC · On-site

Summary The Lead of the Clinical Data Factory supports the data ecosystem that powers MUSC's AI development workflows. This role ensures PI/PHI‑compliant synthetic data pipelines, model‑training ...

Baker Motor Company

Service Assistant

Charleston, SC · On-site

$14.25 - $19/hr

Factory Training and Certification provided for all brands About our Collision Center: * 21 Collision Center Work Bays * 6 Collision Center Prep Stations * 2 Frame-Machines * 2 Paint Booths

S&J STAFFING

Janitor

Goose Creek, SC · On-site

$13 - $16.50/hr

JANITOR The Janitor cleans and keeps in an orderly condition factory working areas and washrooms, or premises of an office, apartment house, or commercial or other establishment. Duties involve a ...

S&J STAFFING

Janitor

Goose Creek, SC · On-site

$13 - $16.50/hr

JANITOR The Janitor cleans and keeps in an orderly condition factory working areas and washrooms, or premises of an office, apartment house, or commercial or other establishment. Duties involve a ...

S&J STAFFING

Janitor

Goose Creek, SC · On-site

$13 - $16.50/hr

JANITOR The Janitor cleans and keeps in an orderly condition factory working areas and washrooms, or premises of an office, apartment house, or commercial or other establishment. Duties involve a ...

Munters

Regional Sales Manager

Charleston, SC · On-site

$85K - $127K/yr

Serves as the primary liaison between customers, manufacturers' representatives, and internal factory teams to facilitate effective communication, resolve issues, and drive customer satisfaction.

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Factory information

See Charleston, SC salary details

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How much do factory jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for factory in Charleston, SC is $15.78, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $16.88 per hour, depending on experience, location, and employer.

What is the difference between Factory vs Machine Operator?

AspectFactoryMachine Operator
Primary RoleOversees entire manufacturing processes and manages production linesOperates specific machinery within the factory
CredentialsTypically requires basic education; certifications depend on machineryOften requires technical training or certifications for specific equipment
Work EnvironmentFactory floor, involving supervision and coordinationFactory floor, focused on operating machinery
Industry UsageUsed broadly to describe manufacturing facilities and processesSpecific role within factories, focusing on machinery operation

While a factory refers to the entire manufacturing facility or process, a machine operator is a specific role within that environment responsible for operating machinery. Understanding this distinction helps in targeting the right job searches and career planning.

What are the key skills and qualifications needed to thrive as a factory worker, and why are they important?

To thrive as a Factory Worker, you need basic mechanical aptitude, physical stamina, and attention to detail, often supported by a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and sometimes certifications like OSHA training are commonly required. Reliability, teamwork, and good communication skills help individuals excel in this role. These attributes are vital for maintaining efficient production, ensuring workplace safety, and contributing to overall operational success.

What jobs are there in a factory?

Factory jobs include roles such as assembly line workers, machine operators, quality control inspectors, maintenance technicians, and supervisors. These positions often require knowledge of manufacturing processes, safety protocols, and sometimes certifications or training in specific equipment. Factory workers typically work in a structured environment with shifts and safety standards in place.

What are some common challenges faced by workers in a factory environment, and how can they be addressed?

Factory workers often encounter challenges such as repetitive tasks, meeting production targets under tight deadlines, and maintaining safety standards in a fast-paced environment. To address these, it's important to stay focused, follow established safety protocols, and communicate effectively with supervisors and team members. Many factories also offer training sessions and ergonomic equipment to help reduce physical strain and improve productivity, which can make the work more manageable and rewarding.

What are different factory jobs?

Factory jobs focus on different aspects of the manufacturing process. As a factory worker, you may perform your duties on a production line where you produce, assemble, or package products or parts. Shift managers oversee operations during a particular time of day, while supervisors or foremen manage a department or monitor the entire factory floor. You can work as a technician, a job in which your responsibilities involve maintaining factory equipment. Factories also employ managers, administrative staff, accountants, designers, engineers, and quality assurance professionals. You can find factory jobs in various industries, include automotive, fashion, food, electronics, household goods, and industrial products.

What are some good factory jobs?

Factory jobs include roles such as assembly line worker, machine operator, quality control inspector, and production technician. These positions often require physical stamina, attention to detail, and familiarity with tools or machinery; some may also require safety certifications or training. They typically involve working in manufacturing environments with shifts that can include nights and weekends.

What is a factory worker?

Factory workers are employees who perform various tasks in a manufacturing environment, such as assembling products, operating machinery, packaging goods, or performing quality checks. Their roles are essential for producing and preparing products for distribution. Factory workers often work on production lines and must follow strict safety and quality guidelines to ensure efficient and safe operations.
More about Factory jobs
What are the most commonly searched types of Factory jobs in Charleston, SC? The most popular types of Factory jobs in Charleston, SC are:
What are popular job titles related to Factory jobs in Charleston, SC? For Factory jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Factory jobs in Charleston, SC look for? The top searched job categories for Factory jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Factory jobs? Cities near Charleston, SC with the most Factory job openings:
Factory jobs near you
Infographic showing various Factory job openings in Charleston, SC as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $32,823 per year, or $15.8 per hour.

Lead - Biomedical Data Factory Team

Medical University of South Carolina

Charleston, SC • On-site

Full-time

Re-posted 3 days ago

Job description

Job Description Summary

The Lead of the Clinical Data Factory supports the data ecosystem that powers MUSC's AI development workflows. This role ensures PI/PHIcompliant synthetic data pipelines, modeltraining readiness, system stability, and data availability by working w/IS architecture to keep the mini-arch ahead of major changes for continued workflow. The Lead works closely with Central IS Architecture and Security, and the AI Center to maintain an emergent AI architecture that reduces load on central IT while enabling rapid experimentation and compliant model development.

Entity

University Medical Associates (UMA) Only Employees and Financials

Worker Type

Employee

Worker Sub-Type

Classified

Cost Center

CC005532 EVPAA - Center for Artificial Intelligence

Pay Rate Type

Salary

Pay Grade

Health-34

Scheduled Weekly Hours

40

Work Shift

Job Description

Primary Areas of Responsibility (with % Allocation)

1. Synthetic Data Pipeline Management & Compliance - 40%

  • Maintain highperformance data pipelines meeting PI/PHI compliance standards.

  • Audit, monitor, and improve data quality, performance, and lineage.

  • Support modeltraining workflows with highintegrity synthetic datasets.

  • Ensure operational compliance, and follow through with IS Strategies and Approaches

2. System Architecture, Maintenance & Enhancement - 25%

  • Oversee lifecycle maintenance of AI Center Built Tools, patching, and upgrades to mini data infrastructure.

  • Partner with enterprise architecture teams to ensure alignment with evolving systems.

  • Communicate risks, dependencies, and required enhancements proactively.

3. Team Leadership & Technical Guidance - 20%

  • Lead and mentor Jr. Data Engineers and Jr. Architects.

  • Maintain documentation, operational workflows, and technical standards.

  • Coordinate team activities to meet service and uptime commitments.

4. Integration with AI Project Teams - 10%

  • Collaborate with AI Strategy & Ops, Research and AI Incubation teams to ensure data needs are met.

  • Provide technical support for data provisioning, synthetic layering, and model experimentation for the AI Center activities.

5. Governance, Quality & Model Integrity Support - 5%

  • Maintain data governance practices that support ethical model development.

  • Support model integrity monitoring and data risk mitigation in conjunction w/IS Guidance and Policy

Key Annual Performance Objectives

  • Meet synthetic data KPIs for quality, performance, and service uptime.

  • Reduce dependency on core IT architecture for AI model development.

  • Maintain compliance and operational stability of the synthetic data ecosystem.

Additional Job Description

Required Qualifications

  • Education: Master's degree required.

  • Experience: 2-3 years of relevant experience with some leadership exposure, ideally in data engineering, architecture, synthetic data systems, or compliant data environments.

  • Technical Capability: Experience in data engineering, synthetic data pipelines, ETL/ELT workflows, or regulated healthcare data systems.

  • Compliance Knowledge: Familiarity with PI/PHI handling, HIPAA, or regulateddata architectures preferred.

  • Leadership: Ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

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