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Remote Flexo Printing Machine Operator Jobs in Washington, DC

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

CNC Machinist

Washington, DC · Remote

$30 - $38/hr

Complete machine setup and changeovers * Conduct inspection and gaging operations to ensure quality ... Minimum 5 years of experience as a Conventional and/or CNC Lathe Operator * Experience with ...

... machine learning. RESPONSIBILITIES This position shall perform the following (to include but not ... support, print support, and support for devices operating in virtualized or remote access ...

Remote Support Technician

Mclean, VA · On-site +1

$75K - $125K/yr

Work required shift from 9:30 AM to 6:00 PM as part of a coverage team operating 24x7 support, to ... Occasionally move about inside the office to access file cabinets, office machinery, or to ...

Operating Systems (Windows 11) * Active Directory Experience * Office 365 Support (TEAMs, OneDrive ... printers, etc.). Preferred * Sharepoint * VPN Experience (Global Protect.) * Remote Support ...

REMOTE Work to be performed at suitable home office. Position will require a weekly Teams Meeting ... Coordinates with external vendors and printers to ensure accurate production. * Stays updated with ...

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Remote Flexo Printing Machine Operator information

See Washington, DC salary details

$16

$28

$39

How much do remote flexo printing machine operator jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote flexo printing machine operator in Washington, DC is $28.37, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $31.06 per hour, depending on experience, location, and employer.

What is the difference between Remote Flexo Printing Machine Operator vs Flexo Printing Machine Operator?

AspectRemote Flexo Printing Machine OperatorFlexo Printing Machine Operator
Work EnvironmentPrimarily remote, overseeing operations via digital systemsOn-site in print facilities
CredentialsTechnical certifications, possibly remote monitoring skillsTechnical training, on-site experience
Job DutiesMonitoring and adjusting machines remotely, quality control via digital toolsOperating, maintaining, and troubleshooting machines physically
Industry UsageGrowing in industries adopting remote monitoring techTraditional in printing and packaging industries

While both roles involve operating flexo printing machines, the Remote Flexo Printing Machine Operator primarily manages and monitors the equipment remotely, utilizing digital tools and systems. In contrast, the Flexo Printing Machine Operator works directly on-site, handling physical operation and maintenance. The remote role offers more digital oversight, whereas the on-site role emphasizes hands-on skills.

What is a remote flexo printing machine operator?

A remote flexo printing machine operator is a professional responsible for operating and maintaining flexographic printing presses from a remote location, often using specialized control systems and monitoring software. They ensure high-quality printing, troubleshoot issues, and follow safety and quality standards, typically requiring technical skills and familiarity with printing equipment. This role may involve shift work and adherence to production schedules.

What are the most commonly searched types of Flexo Printing Machine Operator jobs in Washington, DC?

The most popular types of Flexo Printing Machine Operator jobs in Washington, DC are:

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


Job description

About the Role

We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications.

This role combines strong ML engineering with an experimental mindset. You will work on problems involving reinforcement learning, model evaluations, language models, multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems.

You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts supporting leading AI organizations.

What You'll Do
  • Design and run ML experiments to evaluate the capabilities, behavior, robustness, and limitations of advanced AI systems.
  • Develop and evaluate models across reinforcement learning, NLP/LLMs, computer vision, and multimodal ML.
  • Build evaluation pipelines, benchmarks, datasets, and metrics for frontier AI systems.
  • Train, fine-tune, and evaluate models for safety, security, and other high-impact applications.
  • Develop reliable tooling and infrastructure to run ML experiments and evaluations at scale.
  • Analyze results, identify model failure modes, and translate findings into new experiments and technical approaches.
What We're Looking For
  • 3-5+ years of experience in machine learning, research engineering, or a related technical field.
  • Strong Python skills and experience with ML frameworks such as PyTorch or JAX.
  • Hands-on experience training, fine-tuning, or evaluating modern ML models.
  • Strong understanding of experimental design, model evaluation, and quantitative analysis.
  • Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents.
  • Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
  • Strong software engineering fundamentals and the ability to work independently on ambiguous technical problems.
Nice to Have
  • Experience with RLHF/RLAIF, reward modeling, policy optimization, or other model post-training techniques.
  • Experience evaluating frontier language or multimodal models.
  • Experience with adversarial evaluations, robustness testing, or AI safety.
  • Experience with distributed training, cloud ML infrastructure, or large-scale ML systems.

We don't expect candidates to have experience across every area above. We value deep ML expertise, strong experimental instincts, and the ability to quickly learn new techniques.

Compensation & Benefits
  • Salary Range: $130K-$200K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule