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Remote Corrugated Machine Operator Jobs (NOW HIRING)

Remote (with optional hybrid New York) Salary: Salary up to $220,000 THE COMPANY Our client is a ... operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver ...

Senior Machine Learning Engineer

Chicago, IL ยท On-site +1

$150K - $185K/yr

Document standards, patterns, and best practices for building and operating machine learning ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Location Chester, VT or remote, within the Continental U.S. Join our dynamic Operations team at NewsBank to support the critical infrastructure and data streams that power our services. In this role ...

Location Chester, VT or remote, within the Continental U.S. Join our dynamic Operations team at NewsBank to support the critical infrastructure and data streams that power our services. In this role ...

... corrugated, performing rework. * Will safely assist the Operator in grinding bottles during startup of the machines, clear jams on the downstream, housekeeping around the entire machine including ...

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Remote Corrugated Machine Operator information

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$12

$18

$23

How much do remote corrugated machine operator jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote corrugated machine operator in the United States is $18.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.47 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Corrugated Machine Operator, you need mechanical aptitude, attention to detail, and experience with manufacturing processes, often supported by a high school diploma or equivalent. Familiarity with automated corrugating machinery, production monitoring software, and safety protocols is typically required. Strong problem-solving skills, communication, and the ability to work independently make someone stand out in this role. These competencies ensure efficient machine operation, product quality, and minimal downtime in a remote or distributed manufacturing environment.

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

Remote corrugated machine operators often encounter challenges such as troubleshooting equipment issues without immediate on-site technical support and maintaining effective communication with team members who may also be working remotely. To manage these challenges, operators should become highly familiar with the machinery's operating manuals, utilize remote diagnostics tools, and actively participate in virtual team meetings. Establishing clear protocols for reporting issues and collaborating with maintenance or production teams can ensure smooth operations and minimize downtime.

What does a Remote Corrugated Machine Operator do?

A Remote Corrugated Machine Operator oversees and controls machines that produce corrugated cardboard and related packaging materials, but does so remotely using specialized software and monitoring systems. Their responsibilities include setting up the machine, monitoring production quality, troubleshooting issues, and ensuring safety and efficiency, all from a remote location. This role requires technical skills, attention to detail, and familiarity with remote machine operation technology. Operators may also be responsible for coordinating maintenance and reporting production data.

What machine operator pays the most?

In the manufacturing industry, remote corrugated machine operators typically earn competitive wages, with pay varying based on experience, location, and company size. Specialized skills, such as operating advanced machinery or certifications, can lead to higher salaries. Generally, machine operators with more experience and technical expertise tend to earn the highest wages.

What is the difference between Remote Corrugated Machine Operator vs Remote Folding Machine Operator?

AspectRemote Corrugated Machine OperatorRemote Folding Machine Operator
Required CredentialsHigh school diploma, on-the-job training, safety certificationsHigh school diploma, training in machine operation, safety certifications
Work EnvironmentManufacturing plants, production lines, remote monitoringManufacturing facilities, production lines, remote or on-site
Industry UsageCorrugated box manufacturing, packaging industryPackaging, printing, and converting industries
Common Search/ComparisonYesYes

The Remote Corrugated Machine Operator and Remote Folding Machine Operator roles share similarities in credentials, work environment, and industry usage. The main difference lies in the specific machinery operated: one focuses on corrugated box production, while the other handles folding machines used in packaging and printing. Both roles require safety certifications and are often performed remotely or on-site within manufacturing settings.

More about Remote Corrugated Machine Operator jobs
What cities are hiring for Remote Corrugated Machine Operator jobs? Cities with the most Remote Corrugated Machine Operator job openings:
What are the most commonly searched types of Corrugated Machine Operator jobs? The most popular types of Corrugated Machine Operator jobs are:
What states have the most Remote Corrugated Machine Operator jobs? States with the most job openings for Remote Corrugated Machine Operator jobs include:
Infographic showing various Remote Corrugated Machine Operator job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 45% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,827 per year, or $18.2 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Harnham

Manhattan, NY โ€ข On-site, Remote

$220K/yr

Other

Medical, PTO

Posted 13 days ago


Job description

Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
  • You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
  • You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
  • You will develop feature engineering workflows using PySpark and embedding techniques.
  • You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
  • You will implement monitoring and observability solutions to track model performance and system health.
  • Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
  • MSc or PhD in Computer Science, Machine Learning, or related field.
  • Strong ML engineering with strong proficiency in PyTorch.
  • Hands-on experience with Databricks.
  • Expert-level Python and PySpark skills for large-scale data processing.
  • Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
  • Strong understanding of CI/CD workflows and best practices.
BENEFITS
  • Competitive salary and bonus structure.
  • Comprehensive health coverage.
  • Generous PTO and company holidays.
  • Flexible remote working options.

HOW TO APPLY
If you're passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
Desired Skills and Experience
MLOps, DataBricks