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Remote Computer Operator Jobs in Ashland, MA (NOW HIRING)

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Bachelor's degree or higher in Computer Science, Engineering, or a related technical field. * 7+ ... Comfortable operating with autonomy in ambiguous environments-scoping work, setting realistic ...

Remote Inspector - Jewelry

Canton, MA · On-site +1

$33 - $37.50/hr

Following standard operating procedures, various client-specific procedures as well as other ... Must be knowledgeable in use of computer hardware and have skill level required to use software ...

Software Engineer

Boston, MA · On-site +1

$181K - $299K/yr

Enable the use of the RHEL operating system on edge devices by integrating vendor drivers into the ... S. or foreign equivalent) in Computer Science, Computer Engineering, or related field and two (2) ...

You will also work with cross-functional teams work with developers, Product Managers and Remote QA ... Bachelor's or Master's degree in Computer Science/Engineering * 6+ years of experience of working ...

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Remote Computer Operator information

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$14

$25

$38

How much do remote computer operator jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote computer operator in Ashland, MA is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $28.22 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A remote computer operator can increase earnings by working multiple shifts, gaining specialized skills, or obtaining certifications that qualify for higher-paying tasks. Earning $2000 weekly typically requires consistent full-time hours, efficiency, and possibly taking on additional freelance or contract work in related fields like data entry or technical support.

What Does a Remote Computer Operator Do?

As a remote computer operator, you work from home to supervise and manage computer systems. Your duties may involve setting user control for devices, running computer tasks, overseeing system operations, identifying malfunctions, recording assignments completed and issues addressed, loading files onto storage media, checking for viruses, and separating and sorting program outputs. You also monitor the server and network to ensure they run properly, upgrade software, and maintain machine operations. It’s your job to communicate with the IT department through the web and provide support to network administrators who handle computer equipment issues and maintenance responsibilities.

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

To thrive as a Remote Computer Operator, you need a solid understanding of computer systems, data entry, and troubleshooting, often supported by an associate degree in IT or a related field. Familiarity with remote desktop software, operating systems like Windows or Linux, and ticketing systems such as ServiceNow is typically required. Strong attention to detail, time management, and effective communication are crucial soft skills for success in this role. These competencies ensure efficient system operations, quick problem resolution, and clear collaboration with team members, which are essential for minimizing downtime and supporting business continuity.

How to make 100,000 a year working from home?

A remote computer operator can increase earnings to $100,000 annually by gaining advanced technical skills, obtaining relevant certifications, and working for companies that offer high-paying remote positions. Building experience, specializing in in-demand areas like cybersecurity or data management, and demonstrating efficiency can also help achieve higher income levels.

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

AspectRemote Computer OperatorData Entry Clerk
Required CredentialsBasic IT knowledge, sometimes certifications in computer operationsHigh school diploma, basic computer skills
Work EnvironmentRemote, often in data centers or IT departmentsOffice or remote, primarily data input tasks
Employer & Industry UsageIT companies, data centers, government agenciesBusinesses, healthcare, finance, retail

Remote Computer Operators and Data Entry Clerks both handle data-related tasks, but Remote Computer Operators focus on managing and monitoring computer systems remotely, requiring some technical knowledge. Data Entry Clerks primarily input data into systems with minimal technical skills. While both roles can be remote, the Remote Computer Operator role often involves overseeing system performance and troubleshooting, making it more technical than data entry.

What are some common challenges faced by remote computer operators, and how can they be managed?

Remote computer operators often encounter challenges such as managing system issues without on-site support, ensuring secure and reliable remote connections, and maintaining effective communication with IT teams. To manage these, it's important to develop strong troubleshooting skills, stay updated on cybersecurity best practices, and utilize collaboration tools like chat platforms and ticketing systems to coordinate with colleagues. Regular training and establishing clear protocols for remote problem-solving can help operators stay productive and responsive.

Who is the best company to work for remotely?

For remote computer operators, reputable companies include large tech firms, customer support centers, and data processing companies that offer flexible schedules, remote work policies, and necessary technical support. Job seekers should consider company reviews, benefits, and required skills such as familiarity with remote collaboration tools and cybersecurity practices.

What job makes $10,000 a month without a degree?

A remote computer operator typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve advanced technical skills, certifications, or experience in fields like software development, cybersecurity, or IT management, which may not require a traditional degree but do demand relevant expertise. Most jobs with such earnings are competitive and require significant training or proven ability.

What is a Remote Computer Operator?

A Remote Computer Operator is a professional who monitors and manages computer systems, networks, or servers from a remote location. Their responsibilities often include running scheduled tasks, troubleshooting system issues, maintaining system logs, and ensuring the smooth operation of IT infrastructure. Remote Computer Operators typically work for businesses with 24/7 IT needs and may provide support outside regular business hours. This role requires strong technical skills, attention to detail, and the ability to respond quickly to system alerts or failures.
What cities near Ashland, MA are hiring for Remote Computer Operator jobs? Cities near Ashland, MA with the most Remote Computer Operator job openings:
Lead Machine Learning Engineer - REMOTE

Lead Machine Learning Engineer - REMOTE

Lennar

Boston, MA • On-site, Remote

$111K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Lennar rating

7.8

Company rating: 7.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

25th of 78 rated construction


Job description

Lead ML Engineer - REMOTE
We are Lennar
Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States.
Join a Company that Empowers you to Build your Future
Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML models from notebook to production. This is a key role on the Applied AI & Data Science team, sitting at the intersection of software engineering, ML platform, and applied data science.
The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model serving for both batch and real-time inference, build durable model registries and versioning practices, and stand up retraining pipelines that data scientists actually use. They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases, and the surrounding tooling that makes ML systems reliable in production.
You'll partner closely with data scientists, AI engineers, and platform teams-building and setting the foundation that lets ML models ship faster, retrain on schedule, and operate with the same engineering rigor as any other production service across 40+ divisions of one of the nation's largest homebuilders.
  • A career with purpose.
  • A career built on making dreams come true.
  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team
  • Design, build, and set the ML platform surface used by our data science team-covering model packaging, deployment, batch and real-time inference, and observability.
  • Establish and evangelize ML platform standards, patterns, and reusable components-raising the engineering bar for how ML models are built, deployed, and operated across the organization.
  • Mentor data scientists and engineers on production ML practices, code review their platform-adjacent work, and serve as the technical authority on MLOps decisions.
  • Own model serving infrastructure on AWS SageMaker (including SageMaker Unified Studio)-building patterns for batch inference jobs, real-time endpoints, and serverless inference depending on workload requirements.
  • Build and maintain the model registry, version control, and promotion workflows that move models cleanly from development to staging to production with full lineage and auditability.
  • Stand up and operate retraining pipelines using MLflow, Weights & Biases, and orchestration tools-automating retraining triggers, experiment tracking, model evaluation, and approval gates.
  • Build monitoring and alerting for production models including drift detection, performance degradation, data quality issues, and latency or cost anomalies.
  • Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and code review.
  • Partner closely with data scientists to make their workflow faster and more reliable-reducing time-to-production for new models and increasing confidence in models already in production.
  • Collaborate with Data / Platform Engineering and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform.

Requirements
  • Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
  • 7+ years of software engineering experience, including meaningful production ownership of services or platforms in a cloud environment.
  • 5+ years of hands-on MLOps or ML platform experience-deploying, monitoring, and retraining production models at scale.
  • Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred), including model training jobs, endpoints, batch transform, and pipelines.
  • Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling.
  • Strong Python skills with a track record of writing modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred).
  • Solid understanding of both batch and real-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity.
  • Proven ability to partner with data scientists-understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities.
  • Comfortable operating with autonomy in ambiguous environments-scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked.
  • Bonus: Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools, or supporting both classical ML and LLM-based models on the same platform.

What we offer:
  • The opportunity to deliver impact across one of the largest homebuilders in the United States.
  • A corporate culture focused on growth and development.
  • Freedom to try new impactful ideas.
  • Ability to deploy your work to teams across 40+ divisions and interact directly with those teams.
  • End-to-end project ownership.
  • Occasional travel for team activities and meetings.
  • Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or Dallas, TX.
  • Healthcare (medical, dental, vision) and 401k matching

  • This information is intended to be a general overview and may be modified by the company due to factors affecting the business.

General Overview of Compensation & Benefits:
We reasonably expect the base compensation offered for this position to range from an annual salary of $152,600.00 - $190,700, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations.
  • This position may be eligible for bonuses.
  • This position may be eligible for commissions.
  • This position will be eligible for the described benefits listed in the above section in accordance with Company Policy.
  • This information is intended to be a general overview and may be modified by the Company due to factors affecting the business.

Life at Lennar
At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.
Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

What Lennar employees say

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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