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Remote Sewing Machine Operator Jobs in Livingston, NJ

By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver ... This role is based onsite in our New York, NY, office and is not open to remote work. The impact ...

This role is remote and can be based anywhere in the continental United States. For candidates ... Exceed sales targets and KPIs consistently, operating with a metrics-driven approach to how you ...

From these visits, they will recommend parts and service solutions to improve machine uptime ... Working knowledge of operating multiple OEM MRI's is an asset. * Preferred locations - North East ...

East Coast (Remote, U.S.) Who We Are Vic.ai is building the future of autonomous accounting using ... Our AI-powered platform applies machine learning and automation to invoice processing, coding ...

Showing results 41-54

Remote Sewing Machine Operator information

See Livingston, NJ salary details

$10

$17

$23

How much do remote sewing machine operator jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote sewing machine operator in Livingston, NJ is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $18.85 per hour, depending on experience, location, and employer.

What is a remote sewing machine operator?

Remote Sewing Machine Operators are skilled professionals who operate sewing machines from a remote location, often using specialized equipment or technology to control machines in a factory or production setting. This role typically involves assembling garments, textiles, or other products by sewing materials together according to specifications. Operators may receive instructions and monitor progress through digital platforms, allowing them to work from home or off-site locations. This job requires strong sewing skills, attention to detail, and the ability to troubleshoot machinery remotely.

What are the key skills and qualifications needed to thrive as a remote sewing machine operator?

To thrive as a Remote Sewing Machine Operator, you need proficiency in operating various sewing machines, a solid understanding of fabric types, and prior experience or formal training in garment production. Familiarity with digital work order systems, basic troubleshooting tools, and, in some cases, certifications in industrial sewing are commonly required. Strong attention to detail, time management, and the ability to communicate effectively in a remote environment help operators stand out. These skills ensure high-quality, efficient production and smooth collaboration with remote teams, which are essential for meeting client expectations and deadlines.

What are the main challenges of working as a remote sewing machine operator, and how can they be addressed?

One of the main challenges for Remote Sewing Machine Operators is maintaining consistent communication and quality standards while working independently. Without direct on-site supervision, it's important to follow detailed instructions, participate in virtual check-ins, and utilize video calls or photo sharing for quality assurance. Additionally, ensuring your home workspace is ergonomically set up and free from distractions can help maintain productivity and prevent fatigue. Proactively seeking feedback and staying organized with production schedules will also contribute to success in this remote role.

What is the difference between Remote Sewing Machine Operator vs Remote Textile Assembler?

AspectRemote Sewing Machine OperatorRemote Textile Assembler
Required SkillsMachine operation, sewing techniques, attention to detailAssembly skills, fabric handling, basic sewing
Work EnvironmentHome-based or remote sewing setupHome-based textile assembly
CertificationsNone typically required, some sewing certifications helpfulNone typically required
Industry UsageApparel, upholstery, custom sewingTextile manufacturing, product assembly

Remote Sewing Machine Operators and Remote Textile Assemblers both work in textile-related industries and often operate from home. While sewing operators focus on detailed sewing tasks with specific machines, textile assemblers handle broader fabric assembly processes. Both roles require basic sewing skills and are suitable for remote work, but sewing operators typically need more specialized knowledge of sewing techniques.

How much do remote sewing machine operators make in the US?

Remote sewing machine operators in the US typically earn between $25,000 and $45,000 annually, depending on experience, skill level, and the complexity of tasks. Many positions are part-time or freelance, with some requiring proficiency in sewing machines and pattern reading. Compensation can vary based on the employer and geographic location, even for remote roles.

What cities near Livingston, NJ are hiring for Remote Sewing Machine Operator jobs?

Cities near Livingston, NJ with the most Remote Sewing Machine Operator job openings:

Platform Engineer AI Automation Platform

iShare Inc

Jersey City, NJ โ€ข Remote

$65/hr

Full-time

Posted 29 days ago


Job description

Job Title: Platform Engineer – AI & Automation Platform
Location: Remote/onsite, USA
Experience Required: 8+ years
We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.
Key Responsibilities
* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
* Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
* Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
* Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
* Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
* Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
* Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
* Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
* Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
* Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
* Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
* Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
* Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
* Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services
Required Qualifications
* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
* Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
* Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
* Experience with infrastructure automation, deployment scripting, environment management, and configuration management
* Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
* Experience supporting cloud-native and hybrid architectures across Azure and AWS
* Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
* Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
* Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
* Experience supporting agile product delivery teams in large enterprise environments
* Strong troubleshooting, automation, and systems thinking capabilities
Preferred Qualifications

* Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
* Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
* Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
* Experience with containerization, serverless architectures, and modern cloud platform services
* Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
* Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
Core Technologies
* Microsoft Power Platform
* Dataverse
* Dynamics 365 Finance & Operations
* Azure Services
* AWS Services
* Azure DevOps
* GitHub
* REST APIs & Integrations
* Power Platform Copilot Studio
* M365 Copilot
* Azure AI Foundry
* CI/CD & Automation Tooling
* Observability & Monitoring Platforms
* Automated Testing & Quality Engineering Tooling

This is a remote position.