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Remote Paper Machine Jobs in Miami, FL (NOW HIRING)

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Remote Paper Machine information

See Miami, FL salary details

$14

$20

$24

How much do remote paper machine jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote paper machine in Miami, FL is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $21.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Paper Machine Operator, and why are they important?

To thrive as a Paper Machine Operator, you need strong mechanical aptitude, attention to detail, and a high school diploma or equivalent, with some roles requiring technical training. Familiarity with industrial control systems, quality monitoring tools, and safety protocols is often necessary. Problem-solving skills, teamwork, and clear communication help operators adapt to changing production needs and resolve issues quickly. These skills are crucial for maintaining efficient, safe, and high-quality paper production in a manufacturing environment.

What is the difference between Remote Paper Machine vs Paper Machine Operator?

AspectRemote Paper MachinePaper Machine Operator
CredentialsHigh school diploma, technical trainingHigh school diploma, technical training
Work EnvironmentRemote, often from home or officeOn-site at paper mill
Industry UsageInvolved in monitoring, data analysis, and remote control systemsDirect operation and maintenance of paper machines
Job FocusSupervision, troubleshooting remotely, system managementHands-on machine operation, adjustments, and troubleshooting

The main difference is that Remote Paper Machine roles focus on overseeing and managing paper production remotely, while Paper Machine Operators work directly on-site to operate and maintain the machinery. Both roles require technical skills, but their work environments and daily tasks differ significantly.

What are some common challenges faced by remote paper machine operators, and how can they be addressed?

Remote paper machine operators often encounter challenges related to communication and troubleshooting equipment issues from a distance. Since they are not physically present on the production floor, they rely heavily on real-time data, remote monitoring tools, and close coordination with on-site staff. Building strong communication channels and staying updated with the latest monitoring technologies can help mitigate these challenges. Regular virtual meetings and clear documentation also ensure that remote operators are aligned with the rest of the team and can address issues promptly.

What are remote paper machine operators?

Remote paper machine operators are professionals who monitor and control the operations of paper manufacturing machinery from a remote location, often using advanced digital systems and monitoring tools. Their responsibilities include ensuring that the machines run efficiently, troubleshooting issues, and maintaining product quality without being physically present at the manufacturing site. This role leverages technology to enable real-time data analysis and machine adjustments, improving safety and operational efficiency. Remote paper machine operators typically collaborate with on-site staff and technical teams to resolve issues and optimize production.
What are popular job titles related to Remote Paper Machine jobs in Miami, FL? For Remote Paper Machine jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Paper Machine jobs in Miami, FL look for? The top searched job categories for Remote Paper Machine jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Paper Machine jobs? Cities near Miami, FL with the most Remote Paper Machine job openings:
Remote Paper Machine jobs near you
Infographic showing various Remote Paper Machine job openings in Miami, FL as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 3% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,431 per year, or $20.4 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Hialeah, FL • On-site, Remote

$50/hr

Full-time

Posted 3 days ago

New

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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