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Remote Envelope Machine Operator Jobs (NOW HIRING)

HealthEdge

Machine Learning Engineer

Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

HealthEdge

Machine Learning Engineer

Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Harnham

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$220K/yr

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 ...

Allied

Senior Machine Learning Engineer

Chicago, IL · 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 ...

Newsbank Inc

Jr. Computer Operator, 3rd Shift

Chester, VT · Remote

$33.70K/yr

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 ...

Newsbank Inc

Jr. Computer Operator, 3rd Shift

Chester, VT · Remote

$33.70K/yr

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 ...

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

As of Jun 3, 2026, the average hourly pay for remote envelope machine operator in the United States is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.88 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Envelope Machine Operator, you need a solid understanding of machine operation, mechanical troubleshooting, and basic quality control, often supported by a high school diploma or equivalent. Familiarity with envelope manufacturing machinery, remote monitoring systems, and digital production tracking tools is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help operators manage workflow and coordinate with team members remotely. These skills ensure consistent production quality, minimize downtime, and support efficient remote operations in a manufacturing environment.

How does a Remote Envelope Machine Operator collaborate with team members and supervisors while working off-site?

As a Remote Envelope Machine Operator, effective communication with team members and supervisors is essential to ensure smooth production processes and address any technical issues promptly. Operators typically use digital platforms such as email, instant messaging, and video calls to report machine performance, log production metrics, and receive instructions or feedback. Collaboration may also involve participating in virtual team meetings and sharing best practices for machine maintenance and troubleshooting. Staying proactive in communication helps maintain product quality and supports the overall workflow, even when working remotely.

What are Remote Envelope Machine Operators?

Remote Envelope Machine Operators are professionals who oversee and manage the operation of envelope manufacturing machines from a remote location, often using specialized software and monitoring tools. Their responsibilities include starting and stopping machines, ensuring correct machine settings, troubleshooting technical issues, and maintaining quality control throughout production. Because the role is remote, operators often interact with on-site staff and maintenance teams virtually, and may also review production data to ensure efficiency and safety standards are met.

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

AspectRemote Envelope Machine OperatorRemote Folding Machine Operator
Required CredentialsHigh school diploma, training on envelope machineryHigh school diploma, training on folding equipment
Work EnvironmentManufacturing or printing facilities, often in production linesPrinting or packaging facilities, involved in finishing processes
Employer & Industry UsagePrinting, mailing, and packaging companiesPrinting, mailing, and packaging companies
Common Search & Comparison IntentYesYes

The Remote Envelope Machine Operator and Remote Folding Machine Operator roles share similar credentials, work environments, and industry usage. Both operate specialized machinery in printing and mailing industries, often requiring on-the-job training. The main difference lies in the specific equipment operated: envelope machines focus on producing envelopes, while folding machines handle paper folding tasks. Understanding these distinctions helps job seekers find the right role aligned with their skills and career goals.

What cities are hiring for Remote Envelope Machine Operator jobs? Cities with the most Remote Envelope Machine Operator job openings:
What are the most commonly searched types of Envelope Machine Operator jobs? The most popular types of Envelope Machine Operator jobs are:
What states have the most Remote Envelope Machine Operator jobs? States with the most job openings for Remote Envelope Machine Operator jobs include:
Remote Envelope Machine Operator jobs near you
Infographic showing various Remote Envelope Machine Operator job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 1% Temporary, 8% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,717 per year, or $20.5 per hour.
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110.80K - $166.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Description
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.

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