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Remote Capsule Filling Machine Operator Jobs in Dundalk, MD

Network Engineer

Annapolis, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236261 Location: Annapolis Junction,MD,US Share job via: Share ... Experience managing virtual machine software defined switching and assisting with policy creation ...

Remote Capsule Filling Machine Operator information

See Dundalk, MD salary details

$12

$17

$21

How much do remote capsule filling machine operator jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote capsule filling machine operator in Dundalk, MD is $17.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.80 per hour, depending on experience, location, and employer.

What is a remote capsule filling machine operator?

A Remote Capsule Filling Machine Operator is a professional responsible for overseeing and controlling capsule filling machines from a remote location, often using specialized software and monitoring systems. Their main duties include ensuring the machines are operating efficiently, troubleshooting technical issues, maintaining quality standards, and keeping accurate records of production batches. This role is critical in pharmaceutical and supplement manufacturing, where precise dosing and contamination prevention are essential. Operators may also coordinate with on-site staff to address mechanical problems or maintenance needs as they arise.

What are the key skills and qualifications needed to thrive as a remote capsule filling machine operator?

To thrive as a Remote Capsule Filling Machine Operator, you need experience with pharmaceutical manufacturing processes, attention to detail, and a high school diploma or equivalent. Familiarity with automated capsule filling machinery, production management software, and quality control systems is typically required. Strong problem-solving skills, reliability, and the ability to work independently are valuable soft skills in this role. These competencies ensure efficient, accurate production and compliance with strict safety and quality standards in pharmaceutical environments.

What are the typical challenges faced by a remote capsule filling machine operator, and how can they be managed effectively?

Remote Capsule Filling Machine Operators often encounter challenges such as troubleshooting technical issues from a distance, ensuring consistent product quality, and maintaining clear communication with on-site teams. To manage these challenges, operators should be well-versed in remote monitoring tools, maintain detailed logs, and follow standard operating procedures closely. Regular virtual check-ins with production and maintenance staff help ensure any issues are addressed promptly and that quality standards are consistently met.

What is the difference between Remote Capsule Filling Machine Operator vs Remote Tablet Press Operator?

AspectRemote Capsule Filling Machine OperatorRemote Tablet Press Operator
CredentialsHigh school diploma, technical training, certifications in pharmaceutical manufacturingHigh school diploma, technical training, certifications in pharmaceutical or supplement production
Work EnvironmentPharmaceutical or supplement manufacturing facilities, often in cleanroom settingsTablet production lines in pharmaceutical or supplement plants, often in controlled environments
Industry UsageCommonly used in pharmaceutical, nutraceutical, and supplement industriesPrimarily in pharmaceutical and nutraceutical manufacturing
Job FocusOperating and monitoring capsule filling machines, quality controlOperating tablet presses, ensuring proper compression and quality

The main difference between a Remote Capsule Filling Machine Operator and a Remote Tablet Press Operator lies in the type of equipment operated and the product form. Both roles require similar certifications and work in comparable environments, but they focus on different stages of the production process—capsules versus tablets.

What are the most commonly searched types of Capsule Filling Machine Operator jobs in Dundalk, MD?

The most popular types of Capsule Filling Machine Operator jobs in Dundalk, MD are:

What cities near Dundalk, MD are hiring for Remote Capsule Filling Machine Operator jobs?

Cities near Dundalk, MD with the most Remote Capsule Filling Machine Operator job openings:

Infographic showing various Remote Capsule Filling Machine Operator job openings in Dundalk, MD as of July 2026, with employment types broken down into 40% Full Time, 20% Temporary, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $35,932 per year, or $17.3 per hour.

Research Scientist

Digital Harbor Foundation

Baltimore, MD • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Overview

Current projections of sea level rise aren’t precise enough and potential solutions to mitigate the contributions of land based glaciers to sea level rise are underexplored. We aim to fund and accelerate existing research by increasing investments in Antarctic science as well as by internally developing accurate forecasts of sea level rise and the expected behavior of Antarctic glaciers. To achieve this we leverage state of the art computational methods combining physics and AI on remote sensing and field data. This role specifically is for the internal development of data driven physics and machine learning methods.
Climate change is destabilizing marine ice sheets, creating a risk of catastrophic sea-level rise over the next century. Arête Glacier Initiative is a new nonprofit initiative dedicated to understanding this risk and assessing the efficacy, safety, and feasibility of potential interventions to stabilize ice sheets. We aim to fund, coordinate, and accelerate research to enable informed and legitimate societal decisions regarding these interventions.
Minimum Qualifications

  • PhD in atmospheric science, geophysics, applied mathematics, computer science, or a closely related field
  • 3+ years of postdoctoral or equivalent research experience applying machine learning or deep learning to weather forecasting or Earth system modeling (e.g., forecasting, downscaling, emulation)
  • Proficiency in Python and relevant ML frameworks (PyTorch or JAX) with experience in high-performance or cloud computing environments and large-scale parallel processing
  • Experience handling noisy data, uncertainty propagation, and error estimation in a geoscientific context
  • Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical imagery
  • Demonstrated ability to work effectively in cross-functional, multi-disciplinary teams

Preferred Qualifications

  • Experience in running ice dynamics models such as ISSM, PISM or MALI
  • Experience with physics-informed neural networks, neural operators, Graph Neural Networks, or AI-accelerated FEM modeling
  • Familiarity with uncertainty quantification methods (e.g., ensembles, Bayesian inference) and sensitivity analysis techniques (e.g., adjoint methods) in a geoscientific context
  • Experience with large gridded dataset tooling (Zarr, xarray, Dask)

Knowledge, Skills, and Abilities

  • Develop, optimize, and maintain scalable processing workflows and pipelines for Finite Element Modeling
  • Design and implement physics-informed machine learning models to improve predictive accuracy
  • Quickly learn and apply new tools, datasets, and methods to address evolving project needs
  • Apply advanced statistical methods to quantify uncertainty and validate model outputs
  • Communicate complex technical concepts clearly in both written and spoken English, with the ability to communicate effectively with diverse audiences
  • Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment

Additional Notes

This position is fully remote with occasional in-person meetings as needed to fulfill the responsibilities of the position.

Role and Responsibilities

  • Collaborate with data scientists, engineers and scientists to develop methods to forecast glacier ice flow and its impact on sea level rise.
  • Integrate domain knowledge into model design and interpret model outputs for physically realistic conditions
  • Develop, adapt, and evaluate probabilistic ML and hybrid physics-ML models for cryospheric processes including ice sheet flow, surface mass balance, and ocean-ice interactions
  • Develop and run large scale numerical simulations of ice dynamics.
  • Process and curate large-scale observational and synthetic datasets (e.g., satellite data, radar sounding and ice sheet model outputs) for use in model training and validation.
  • Identify sensitivities of model outputs to model imperfections of low quality source data or data gaps
  • Participate in regular team research reviews, contributing to and receiving feedback on methods and results

Other Duties

Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Arête Glacier Initiative is a newly launched nonprofit initiative, and as such, we are in the early stages of building our programs and team. This role requires a high degree of flexibility, adaptability, and a willingness to take on diverse tasks as we develop and grow. 

We encourage anyone who is interested in this role to apply, regardless of whether you feel you meet 100% of the qualifications. The top candidates will bring their own unique perspectives, experiences, and backgrounds from a variety of industries along with many but not necessarily all of the skills listed above.
Compensation
Compensation for this full-time position is $120,000 - $150,000 annually, commensurate with experience. 
Arête Glacier Initiative provides a best-in-class comprehensive set of benefits to support the team. All regular, full-time employees are eligible to receive:
Health Benefits & Insurance

  • Carefirst Blue Cross Blue Shield - Health, Dental, and Vision Insurance (100% of the premium paid for employees and 85% of dependents)
  • Pre-Tax Health Savings Account (HSA) (with $275 monthly employer contributions)
  • Pre-Tax Flexible Savings Account (FSA)
  • Paid Accidental Death & Dismemberment (AD&D) Insurance
  • Paid Short-Term & Long-Term Disability Insurance
  • Paid Basic Life Insurance
  • Supplemental Voluntary Life Insurance (Employee, Spouse & Dependent Children)
  • Total Pet Plan and Supplemental Wishbone Pet Insurance
  • Employee Opportunity Program (EAP) - Health and Wellness
  • Wellness Reimbursement Program 

Retirement

  • 401k Retirement Plan (with 6% matching)

Paid Time Off

  • 15 Days Paid Time Off Per Year
  • 16 Paid Holidays (14 common plus 2 flexible holidays, including Dec 25 - Jan 1)
  • Paid Bereavement Leave
  • Paid Parental Leave for Moms and Dads (two weeks after first year)

If our mission and vision align with your personal values, please apply!

A cover letter outlining your qualifications for the position along with your resume is required. Interviews will be conducted virtually.

Arête Glacier Initiative is fiscally sponsored by Digital Harbor Foundation. Digital Harbor Foundation is dedicated to fostering learning, creativity, productivity, and community through education with a vision of digital equity for everyone. Driven by our sincere belief that access to opportunity is a basic right, we take bold yet practical actions to support making a better future now. Through a portfolio of projects focused on developing leadership within communities, we support those closest to challenges to take deliberate actions based in design thinking approach, backed by data analysis, grounded in a practice of collective impact, and driven by a commitment to racial equity.

Digital Harbor and Arête Glacier Initiative are an equal opportunity employer.


 

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