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Remote Capsule Filling Machine Operator Jobs in California

Agility Robotics

Senior Safety Software Engineer

Fremont, CA · On-site +1

$175K - $274K/yr

Partner with our machine learning, hardware, and core software teams to ensure that data pipelines ... operating systems and integrating into a modern CI/CD system This is a fully remote role with the ...

Sully.ai

SDR

Santa Clara, CA · On-site +1

... machine that future SDRs inherit. * We sell to healthcare operators and clinical leaders ... Remote

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... operator. The Engineer is responsible to develop and implement logic for complex custom ... Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... operator. The Engineer is responsible to develop and implement logic for complex custom ... Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Experience deploying and operating ML systems for robotics or real-world physical systems.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Experience deploying and operating ML systems for robotics or real-world physical systems.

Planted Solar

Field Robotics Technician

Oakland, CA · On-site +1

$35 - $45/hr

Field Robotics Technician Oakland, CA Preferred - Remote Ok Full-time - 80% Travel Energy is the ... We're expanding our team of ambitious, curious, and hands-on engineers and operators who want to ...

Overview Corp

Events & Partnerships Lead

San Francisco, CA · On-site +1

$90K - $120K/yr

Events & Partnerships Lead Remote • Growth • Full time ABOUT OVERVIEW.AI Overview.ai is ... Our customers love the product because it works: high accuracy, fast deployment, and an operator ...

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Remote Capsule Filling Machine Operator information

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 California?

The most popular types of Capsule Filling Machine Operator jobs in California are:

What cities in California are hiring for Remote Capsule Filling Machine Operator jobs?

Cities in California with the most Remote Capsule Filling Machine Operator job openings:

Remote Capsule Filling Machine Operator jobs near you
Infographic showing various Remote Capsule Filling Machine Operator job openings in California as of July 2026, with employment types broken down into 68% Full Time, 27% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Temporary Micro-Credential Grader - JSD- Microcredential Grader-AI Fundamentals for STEM Professi...

Brandeis University

Brandeis, CA • Remote

$25 - $30/hr

Part-time

Re-posted 27 days ago

Key responsibilities

  • Evaluate learner submissions of the AI Workflow Project using structured rubrics.

  • Apply rubrics to assess mastery of AI concepts such as supervised learning, data preprocessing, and model selection.

  • Participate in calibration exercises with fellow graders to ensure consistency in evaluation.

Job description

Position: Micro-Credential Grader-AI Fundamentals for STEM Professionals
Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation


Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented STEM professional to serve as a Micro-Credential Grader for the online asynchronous credential, AI Fundamentals for STEM Professionals.


In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate mastery of AI concepts through a real-world STEM challenge and a complete 5-step workflow design. This project-based credential equips professionals with foundational skills in supervised learning, data preprocessing, model selection, and ethical AI deployment. As a grader, you'll apply structured rubrics to assess technical accuracy, conceptual depth, and responsible innovation.


This role offers a unique opportunity to contribute to a high-impact, workforce-aligned credential that bridges STEM expertise with emerging AI capabilities.


What You Will Do:

  • Evaluate learner submissions of the AI Workflow Project, which include a real-world STEM challenge, an AI-powered solution, and a complete 5-step workflow design.

  • Apply structured rubrics to assess mastery of skills such as supervised learning, data preprocessing, model selection, and interpretability.

  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating technical artifacts and conceptual reasoning.

  • Maintain confidentiality and objectivity throughout the grading process

What You Bring:

  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Engineering, or related STEM disciplines.

  • Subject-matter expertise in foundational AI concepts, including machine learning, data analysis, and ethical considerations in AI deployment.

  • Experience in academic assessment, workforce development, or digital learning preferred.

  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.

  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement. Proficient in rubric-based assessment and competency validation, especially for technical and project-based submissions.

  • Strong attention to detail and ability to maintain consistency across diverse submissions.

  • Excellent written communication skills for delivering constructive, learner-focused feedback.

  • Comfortable working in asynchronous learning environments and using digital platforms.

  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure

The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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