2

Remote Paper Machine Jobs (NOW HIRING)

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... research papers Important: Preferably no known conflicts of interest in the fields of machine ...

... machines, and the distance between them is the whole job. What You'll Actually Do * Build the agent ... You've read the papers and have opinions about evals. * Remote. Work from wherever you're sharpest ...

Job Title GenAI Architect Duration: 6+ Months Location Nashville, TN Remote Work 100% Primary ... Excellent understanding of machine learning techniques and algorithms such as GPTs CNN RNN kNN ...

... for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers ... Perks and Benefits: * 100% remote opportunity (we have 4 office locations for hybrid/onsite work ...

This is a remote part-time position (10 hours per week). Areas, Duties, and Responsibilities : * Systems Engineering and Cybersecurity * Create thought papers on artificial intelligence (AI), machine ...

... machine learning, or related technical disciplines . Illustrative subject matter includes patent ... Ability to review and analyze technically complex documents, including scientific papers, patents ...

next page

Showing results 1-20

Remote Paper Machine information

See salary details

$14

$21

$25

How much do remote paper machine jobs pay per hour?

As of Jul 12, 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 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.
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? States with the most job openings for Remote Paper Machine jobs include:
What job categories do people searching Remote Paper Machine jobs look for? The top searched job categories for Remote Paper Machine jobs are:
Infographic showing various Remote Paper Machine job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Sr. Machine Learning Engineer, Applied Science

Sr. Machine Learning Engineer, Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$161K - $332K/yr

Full-time

Re-posted 4 days ago


Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.
We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.
What you'll do:
  • Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc.
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.

What we're looking for:
  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
  • 5+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.

Nice to Have:
  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:
  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE
#LI-AK7
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$161,263-$332,012 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.