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Remote Paper Machine Jobs (NOW HIRING)

Paper Converting Machine

Sales Executive

$70 - $100K/hr

... paper-converting industries. By blending people-centric leadership with disciplined operational ... Apply today! #LI-CP1 #Remote At Barry-Wehmiller we recognize that people come with a wealth of ...

Comcast

Engineer 3, Machine Learning-5125

Washington, DC · On-site +1

$126K - $165K/yr

... for the remote option.) Job Summary DUTIES: Contribute to a team responsible for building ... conuence pages, white papers, presentations, test results, technical manuals, formal ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

... Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers, analytical reports, technical documentation, experiment ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

... Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers, analytical reports, technical documentation, experiment ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

... Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers, analytical reports, technical documentation, experiment ...

YO AI Labs

AI Data Science Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

... Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or reviewing research papers, analytical reports, technical documentation, experiment ...

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Remote Paper Machine information

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$14

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How much do remote paper machine jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote paper machine in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is a remote paper machine operator?

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 the key skills and qualifications needed to thrive as a remote paper machine operator?

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 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 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.

More about Remote Paper Machine jobs

What cities are hiring for Remote Paper Machine jobs?

Cities with the most Remote Paper Machine job openings:

What are the most commonly searched types of Paper Machine jobs?

The most popular types of Paper Machine jobs are:

What states have the most Remote Paper Machine jobs?

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What job categories do people searching Remote Paper Machine jobs look for?

The top searched job categories for Remote Paper Machine jobs are:

Remote Paper Machine jobs near you
Infographic showing various Remote Paper Machine job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Principal Applied Machine Learning Scientist

Omada Health

Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is looking for a Principal Applied ML Scientist to lead high-impact research and applied algorithm development focused on predicting where a member is headed next and identifying the intervention most likely to improve outcomes at a specific moment. The role sits at the intersection of machine learning research, causal decisioning, and healthcare product impact, translating longitudinal member data into clinically meaningful and operationally deployable algorithms. This position requires deep technical leadership, strong publication-quality rigor, and the ability to work cross-functionally with product, engineering, and clinical stakeholders.
Your Impact:
Health Trajectory Research
  • Lead research and development of individual- and population-level health trajectory models that predict future member states, risks, and likely progression paths using messy, real-world longitudinal healthcare data.
  • Produce high-quality experimental evidence and technical recommendations that can lead to tangible product features and have a real impact on individual and population health trajectories.

Next Best Action Algorithms
  • Lead the design of next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to a member's current context and likely future path.
  • Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment.
  • Define objective functions, reward signals, and policy constraints that balance engagement, clinical effectiveness, fairness, and operational feasibility, partnering with product and clinical teams to ensure outputs are actionable and interpretable.

Technical Leadership
  • Serve as the senior scientific lead for algorithmic and evaluation rigor in trajectories and next-best-action, setting standards for problem formulation, evaluation, and publication-quality analysis.
  • Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference.
  • Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.

About you:
  • Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related quantitative field is required, will consider a Master's with substantial, directly related experience at a senior level.
  • Multiple years of post-secondary education experience in machine learning research or applied research science, with a strong record of delivering novel algorithms or high-impact ML systems in production.
  • Deep expertise in time-series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, causal inference, or adjacent research areas relevant to trajectories and next-best-action decisioning.
  • Strong proficiency in Python and modern ML tooling, along with experience deploying models into production environments on cloud platforms such as AWS SageMaker or equivalent.
  • Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.

Bonus Points for:
  • Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries.
  • Peer-reviewed papers, conference presentations or white papers in machine learning, reinforcement learning, causal inference or health AI.

Benefits:
  • Competitive salary with generous annual cash bonus
  • Equity grants
  • Employee stock purchasing plan (ESPP)
  • Remote first work from home culture
  • Flexible Time Off to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions
  • ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
  • Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
  • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
  • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
  • Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
  • Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
  • Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits-where health is won or lost-at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.
Zone 1: $270,480 - $338,100
Zone 2: $258,720 - $323,400
Zone 3: $235,200 - $294,000
Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.
*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.
Please click here for more information on our Candidate Privacy Notice.

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