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Remote Scale Operator Jobs in Dearborn, MI (NOW HIRING)

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... at scale. This is a hands-on development role with deep technical ownership and cross-team ... Experience designing and operating infrastructure across on-premises and cloud environments

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · Remote

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... at scale. This is a hands-on development role with deep technical ownership and cross-team ... Experience designing and operating infrastructure across on-premises and cloud environments

Lineage Logistics

ERP Release Manager

Novi, MI · Remote

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This is not a large-scale implementation role - it is a hands-on coordination and governance role ... This is a REMOTE role. We are not sponsoring work authorization for this role. Primary ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... centers, giving operators a way to better use the power already available to them. The AI ... Build and maintain fault-tolerant, high-performance systems for serving AI models at scale, with a ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Prior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at ...

JLL

Global Operations Manager

Detroit, MI · Remote

$84K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... at scale for a Fortune 500 technology leader. Work Schedule: Remote, M-F 8-5 Travel Requirements ... Apply best practices and standard operating procedures in daily operations. Support process ...

FORT Robotics

Account Executive, USA

Detroit, MI · Remote

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely ... as FORT scales. This is an ideal opportunity for experienced sales professionals with a proven ...

Lineage Logistics

Senior Business Analyst (AI COE)

Novi, MI · Remote

$86K - $112K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

In the early phases you will go deep in your first area and establish the standard operating rhythm ... As the team scales, take onadditionalfunctional areas, mentor junior Business Analysts, and codify ...

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Showing results 21-40

All JobsScale Operator JobsRemote Scale Operator JobsRemote Scale Operator Jobs in Dearborn, MI

Remote Scale Operator information

See Dearborn, MI salary details

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How much do remote scale operator jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote scale operator in Dearborn, MI is $16.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.13 and $18.12 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 Dearborn, MI?

For Remote Scale Operator jobs in Dearborn, MI, the most frequently searched job titles are:

What cities near Dearborn, MI are hiring for Remote Scale Operator jobs?

Cities near Dearborn, MI with the most Remote Scale Operator job openings:

Remote Scale Operator jobs near you
Infographic showing various Remote Scale Operator job openings in Dearborn, MI as of August 2026, with employment types broken down into 40% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $34,022 per year, or $16.4 per hour.

Senior Software Engineer, DevOps

Utilidata

Ann Arbor, MI • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata's off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with deep technical ownership and cross-team visibility. This engineer will build and maintain the systems that keep our platform running, help shape infrastructure and deployment best practices, and support less experienced engineers. This engineer will partner closely with on-device and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale.
Responsibilities
  • Support the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability
  • Contribute to strategic planning on how infrastructure solutions evolve to match Data Center partner requirements
  • Design, implement, and maintain scalable and reliable systems on AWS and/or on-premise
  • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources
  • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs)
  • Support SOC2 security compliance requirements for data handling
  • Guide team members in DevOps practices, promoting a culture of reliability and excellence
  • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention
  • Collaborate with cross-functional teams to build and maintain CI/CD pipelines
  • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions
  • Participate in on-call rotations and incident response teams
  • Assist in capacity planning, performance tuning, and technical decision-making
  • Drive continuous improvement initiatives for processes and infrastructure
Minimum Qualifications
  • 8+ years of development experience including experience in platform engineering, SRE, or distributed systems, with demonstrated senior-level impact
  • Experience designing and operating infrastructure across on-premises and cloud environments
  • Strong proficiency in container orchestration, particularly Kubernetes
  • Strong proficiency with AWS services and architecture
  • Hands-on experience with Terraform for infrastructure automation
  • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices
  • Strong problem-solving skills and attention to detail
  • Strong communication and collaboration skills, with experience contributing to technical outcomes
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure
  • AI workload scheduling using Kubernetes
  • Knowledge of Apache Spark for large-scale data processing
  • Knowledge of database technologies (SQL, NoSQL)
  • Understanding of networking concepts and security best practices

Salary Range: $160,000 to $190,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position is based at our company headquarters in Ann Arbor, Michigan, with flexibility for occasional remote work.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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