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Bright Data Jobs (NOW HIRING)

Bright Machines

Manufacturing Trainer

Florence, KY · On-site

At Bright Machines ® , we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent ...

Bright Machines

Material Handler

Florence, KY · On-site

$20 - $30/hr

At Bright Machines ® , we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent ...

Bright Machines

Material Handler

Florence, KY · On-site

$20 - $30/hr

At Bright Machines, we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent ...

Bright Machines

Manufacturing Trainer

Florence, KY · On-site

At Bright Machines, we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent ...

Bright Machines

Material Handler

Florence, KY · On-site

$20 - $30/hr

At Bright Machines ® , we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent ...

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Bright Data information

What is the difference between Bright Data vs Data Analyst?

AspectBright DataData Analyst
CredentialsTypically no formal credentials required, but knowledge of data collection tools helpsBachelor's degree in data science, statistics, or related field often required
Work EnvironmentPrimarily technical, involving data collection, web scraping, and data managementAnalytical, involving data interpretation, reporting, and visualization
Industry UsageUsed across tech, marketing, and research sectors for data gatheringUsed in finance, marketing, healthcare, and other sectors for data analysis

Bright Data focuses on data collection and web scraping, while Data Analysts interpret and analyze data to inform business decisions. Both roles require familiarity with data tools but serve different functions within the data ecosystem.

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Bright Data jobs near you
Infographic showing various Bright Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Manufacturing Trainer

Bright Machines

Florence, KY • On-site

Full-time

Re-posted 6 days ago

Key responsibilities

  • Deliver instructor-led and hands-on training to manufacturing personnel on processes, equipment operation, quality standards, and safety protocols

  • Evaluate trainee performance through observation, assessments, and skills verification

  • Maintain accurate training records and certification documentation

Job description

RETHINK MANUFACTURING  
 

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model to take advantage of what comes next.   

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to a brighter way of manufacturing AI infrastructure, we’d love to speak with you. 


ABOUT THE ROLE
 
Manufacturing Trainers at Bright Machines are responsible for delivering structured, hands-on training to manufacturing associates, technicians, and leads in a high-tech production environment. This role ensures employees are trained, certified, and compliant with operational, quality, and safety standards.
This position reports directly to the Training Manager and focuses on training delivery, coaching, skills verification, and production floor support.
WHAT YOU WILL BE DOING
  • Deliver instructor-led and hands-on training to manufacturing personnel on processes, equipment operation, quality standards, and safety protocols
  • Facilitate onboarding training for new hires, ensuring timely certification and readiness for production
  • Evaluate trainee performance through observation, assessments, and skills verification
  • Provide real-time coaching and reinforcement on the production floor
  • Ensure adherence to SOPs, work instructions, and EHS requirements
  • Maintain accurate training records and certification documentation
  • Partner with Production, Quality, and Engineering teams to identify skills gaps and support retraining efforts
  • Support cross-training initiatives to increase workforce flexibility
  • Promote a culture of safety, accountability, and continuous improvement
WHAT YOU WILL BRING
  • 3+ years of experience in a manufacturing, assembly, or industrial environment
  • Previous experience delivering training or mentoring employees in a production setting preferred
  • Strong understanding of manufacturing processes, quality systems, and safety standards
  • Ability to communicate technical information clearly and effectively
  • Comfortable facilitating small group training sessions
  • Strong organizational skills and attention to detail
  • Proficiency with basic computer systems and training documentation tools

BE EMPOWERED TO CHANGE AN INDUSTRY 


Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing. 
 
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.