... machine learning to bring new insights and innovations to both internal teams and client solutions. Requirements * 8+ years of experience designing, building, and operating solutions on AWS, with ...
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... machine learning to bring new insights and innovations to both internal teams and client solutions. Requirements * 8+ years of experience designing, building, and operating solutions on AWS, with ...
Remote Sewing Machine Operator information
See Edmonton, AB salary details
$8.41 - $9.86
4% of jobs
$9.86 - $11.30
10% of jobs
$12.20 is the 25th percentile. Wages below this are outliers.
$11.30 - $12.74
17% of jobs
$12.74 - $14.18
18% of jobs
The median wage is $14.26 / hr.
$14.18 - $15.62
19% of jobs
$16.47 is the 75th percentile. Wages above this are outliers.
$15.63 - $17.07
13% of jobs
$17.07 - $18.51
9% of jobs
$18.51 - $19.95
5% of jobs
$19.95 - $21.39
3% of jobs
$21.39 - $22.84
1% of jobs
$22.84 - $24.28
1% of jobs
$8
$16
$24
How much do remote sewing machine operator jobs pay per hour?
As of Aug 31, 2026, the average hourly pay for remote sewing machine operator in Edmonton, AB is $16.21, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $17.07 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?
| Aspect | Remote Sewing Machine Operator | Remote Textile Assembler |
|---|---|---|
| Required Skills | Machine operation, sewing techniques, attention to detail | Assembly skills, fabric handling, basic sewing |
| Work Environment | Home-based or remote sewing setup | Home-based textile assembly |
| Certifications | None typically required, some sewing certifications helpful | None typically required |
| Industry Usage | Apparel, upholstery, custom sewing | Textile 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 are popular job titles related to Remote Sewing Machine Operator jobs in Edmonton, AB?
For Remote Sewing Machine Operator jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Remote Sewing Machine Operator jobs in Edmonton, AB look for?
The top searched job categories for Remote Sewing Machine Operator jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Remote Sewing Machine Operator jobs?
Cities near Edmonton, AB with the most Remote Sewing Machine Operator job openings:
Job description
Position Title: AWS Solutions Architect- AI/ML
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
Employment Time: Full-Time
This Is a fully remote position with travel required.
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies.
Responsibilities
- Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency.
- Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
- Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies.
- Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization.
- Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications.
- Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance.
- Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set.
- Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making.
- Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi- region deployments to ensure seamless transitions to cloud environments.
- Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions.
- 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture.
- Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads.
- Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI.
- Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs.
- Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures.
- Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management.
- Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance.
- Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships.
- AWS Certified Machine Learning – Associate
- AWS Certified Gen AI Developer- Professional
- AWS Certified Solutions Architect – Associate or Professional
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About Cloudelligent
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Dallas, TX, US
Year founded
2017