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Remote Sewing Machine Operator Jobs in California

ABC Legal Services

Data Scientist

Los Angeles, CA · On-site +1

$110K - $130K/yr

... operating across all 50 states. We are a technology-forward legal services company on a mission to ... Role Overview We're seeking a Data Scientist with hands-on experience in machine learning ...

FORT Robotics

Account Executive, USA

San Francisco, CA · Remote

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any ...

FORT Robotics

Account Executive, USA

Palo Alto, CA · Remote

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... operator. The Engineer is responsible to develop and implement logic for complex custom ... Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces ...

Terabase Energy

SCADA Engineer

Berkeley, CA · On-site +1

$90K - $115K/yr

... operator. The Engineer is responsible to develop and implement logic for complex custom ... Remote Terminal Units (RTU's), Programmable Logic Controllers (PLC's), & Human Machine Interfaces ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Experience deploying and operating ML systems for robotics or real-world physical systems.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Experience deploying and operating ML systems for robotics or real-world physical systems.

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Remote Sewing Machine Operator information

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

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 are Remote Sewing Machine Operators?

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 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.

What are the most commonly searched types of Sewing Machine Operator jobs in California? The most popular types of Sewing Machine Operator jobs in California are:
What are popular job titles related to Remote Sewing Machine Operator jobs in California? For Remote Sewing Machine Operator jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Sewing Machine Operator jobs in California look for? The top searched job categories for Remote Sewing Machine Operator jobs in California are:
What cities in California are hiring for Remote Sewing Machine Operator jobs? Cities in California with the most Remote Sewing Machine Operator job openings:
Remote Sewing Machine Operator jobs near you
Data Scientist

Data Scientist

ABC Legal Services

Los Angeles, CA • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About ABC Legal Services

ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.

Role Overview

We're seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.

Key Responsibilities

  • Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
  • Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
  • Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
  • Partner with product and operations teams to translate business requirements into data science solutions
  • Monitor deployed models in production, identify performance degradation, and drive continuous improvement
  • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
  • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

Requirements

Required

  • 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience