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Remote Scale Operator Jobs in Riverside, CA (NOW HIRING)

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131.50K - $173.40K/yr

... operating ML systems for robotics or real-world physical systems. * Experience with scaling AI, ML ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Turion Space

Senior Azure Cloud Engineer

Irvine, CA · On-site +1

$59.75 - $80/hr

... products at scale, and support missions that can't afford downtime when hardware is operating ... Implement and manage Zero Trust Network Access (ZTNA) solutions to secure remote access and ...

Turion Space

Senior Azure Cloud Engineer

Irvine, CA · On-site +1

$160K - $213K/yr

... products at scale, and support missions that can't afford downtime when hardware is operating ... Implement and manage Zero Trust Network Access (ZTNA) solutions to secure remote access and ...

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Remote Scale Operator information

See Riverside, CA salary details

$13

$18

$23

How much do remote scale operator jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote scale operator in Riverside, CA is $18.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Scale Operator, and why are they important?

To thrive as a Remote Scale Operator, you need attention to detail, basic math skills, and a high school diploma or equivalent. Familiarity with digital scale systems, weighbridge software, and data entry tools is typically required. Strong communication, problem-solving abilities, and reliability help you excel in coordinating with drivers and ensuring accurate records. These skills are crucial for maintaining operational efficiency, regulatory compliance, and accurate transactions in industries like logistics and waste management.

What are some common challenges faced by Remote Scale Operators and how can they be effectively managed?

Remote Scale Operators often face challenges such as maintaining accuracy while managing multiple simultaneous tasks, troubleshooting remote technology issues, and communicating effectively with on-site personnel. Staying organized and using digital tools to track loads and weights can help minimize errors. Establishing clear communication protocols with drivers and facility staff ensures smooth operations, and being proactive about regular system checks can reduce downtime from technical glitches. Continuous learning and adaptability are key to handling the fast-paced and sometimes unpredictable nature of the role.

What are remote scale operators?

Remote scale operators are professionals who manage and monitor weighing systems, such as truck or industrial scales, from a remote location. They are responsible for ensuring accurate weight measurements, verifying load records, and maintaining communication with drivers and onsite staff. Their work often involves using specialized software and technology to operate scales, log data, and troubleshoot issues. Remote scale operators play a crucial role in industries like logistics, agriculture, and waste management, where accurate weight tracking is essential.

What is the difference between Remote Scale Operator vs Remote Data Entry Clerk?

AspectRemote Scale OperatorRemote Data Entry Clerk
Required CredentialsHigh school diploma, training in weighing systemsHigh school diploma or equivalent, basic computer skills
Work EnvironmentIndustrial or warehouse settings, remotely monitoring scalesOffice or home-based, entering data into systems
Employer & Industry UsageLogistics, manufacturing, transportationAdministrative, healthcare, retail sectors
Common Search & ComparisonRemote Scale Operator vs Remote Data Entry Clerk

The Remote Scale Operator and Remote Data Entry Clerk roles share similarities in working remotely and requiring basic technical skills. However, the Remote Scale Operator focuses on monitoring and managing weighing systems in industrial environments, often requiring specific training. In contrast, the Remote Data Entry Clerk primarily handles data input tasks in administrative settings. Both roles are essential in their industries but serve different operational functions.

What are popular job titles related to Remote Scale Operator jobs in Riverside, CA? For Remote Scale Operator jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Scale Operator jobs in Riverside, CA look for? The top searched job categories for Remote Scale Operator jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Scale Operator jobs? Cities near Riverside, CA with the most Remote Scale Operator job openings:
Remote Scale Operator jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131.50K - $173.40K/yr

Full-time

Posted 19 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.