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

You.com

Senior Backend Engineer

San Francisco, CA · On-site +1

$200K - $250K/yr

This is a remote position open to candidates based anywhere in the United States. We give ... Design, build, and maintain backend systems that support web-scale, AI-driven search products

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Remote Scale Operator information

See Alameda, CA salary details

$14

$20

$25

How much do remote scale operator jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote scale operator in Alameda, CA is $20.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $22.36 per hour, depending on experience, location, and employer.

What is a remote scale operator?

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 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 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 Alameda, CA?

For Remote Scale Operator jobs in Alameda, CA, the most frequently searched job titles are:

What job categories do people searching Remote Scale Operator jobs in Alameda, CA look for?

The top searched job categories for Remote Scale Operator jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Remote Scale Operator jobs?

Cities near Alameda, CA with the most Remote Scale Operator job openings:

Remote Scale Operator jobs near you

Technology Lead, Agentic AI and R&D (Bay Area or Remote)

The businesses of Merck KGaA, Darmstadt, Germany

San Jose, CA • On-site, Remote

$119K - $178K/yr

Full-time

Medical, Retirement, PTO

Re-posted 4 days ago

Job description

Work Location: San Jose, California
Shift: No
Department: EL-CT-S Materials AI
Recruiter:Anthony Melino


This information is for internals only. Please do not share outside of the organization.


Location: San Jose, California | Remote Flexibility Available

Your Role

You will be the technical cornerstone of a high-impact, multi-agent platform that powers AI-amplified research and development. In this pivotal role, you will own the architecture and evolution of a production-grade agentic system that enables autonomous experiment design and automated reporting at scale. Your work will directly shape how science and technology interact, driving meaningful progress for patients and customers worldwide.

You will define and uphold engineering standards through hands-on code review, pairing, and concrete examples, ensuring quality and maintainability endure beyond individual contributors. You will build and maintain shared agentic infrastructure that allows multiple programs to contribute specialized agents within a single governed platform, connecting it to external tooling, partners, and the broader ecosystem for seamless integration and scalable growth.

You will own platform design decisions spanning data sources, access controls, agent composition patterns, scalability, and technical debt management. Within a SAFe delivery cadence, you will lead the technical roadmap, guiding both internal engineers and external contractors to maintain architectural consistency. You will ship production code, own CI/CD pipelines and observability, and drive robust testing and security practices for sensitive research data.

You will translate complex research and development requirements into reliable technical solutions and communicate them clearly to both technical and non-technical stakeholders. You will mentor developers, lead by example, and help the team navigate the evolving AI landscape with disciplined, evidence-based decision making. As the permanent internal anchor for architecture and standards, you will ensure the platform remains reliable, secure, and extensible as the program scales.

Who You Are

Minimum Qualifications:

  • Master's degree in computer science, data science, chemistry, materials science, or a related field with 3+ years of experience Or Ph.D in computer science, data science, chemistry, materials science, or a related field with 2+ years of experience.
  • Demonstrated experience in technical leadership, including making architectural decisions under uncertainty and guiding cross-functional engineering teams.
  • Solid understanding of distributed systems, APIs, and cloud infrastructure on AWS and/or Azure.
  • Security-first mindset with hands-on knowledge of authentication, authorization, input validation, and AI-specific risks such as prompt injection and data leakage.
  • Experience establishing engineering standards, automated testing strategies, and maintainable code practices that scale across teams and contributors.

Preferred Qualifications:

  • Proven track record of building and operating complex, production-grade software systems end to end, including ownership of CI/CD, observability, and on-call operations.
  • Experience designing or operating multi-agent or agentic AI platforms in a production environment.
  • Familiarity with large language model (LLM) orchestration frameworks and patterns for agent composition and governance.
  • Experience working within SAFe or similar scaled agile delivery frameworks.
  • Strong communication skills with the ability to bridge software engineering and non-technical research or product stakeholders.
  • Familiarity with research and development workflows, scientific data environments, or regulated data contexts where security and data governance are critical.

Base Pay Range for this position: $119,300-$178,900

The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.


The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

Employment Type: FULL_TIME

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