2

Remote Sewing Machine Operator Jobs in California

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 ...

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 ...

Showing results 21-40

Remote Sewing Machine Operator information

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 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 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:

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

San Francisco, CA • On-site, Remote

$123K - $169K/yr

Full-time

Re-posted 27 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.
In this role, you will:
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
  • You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.
  • A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them.
  • Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.
  • Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.
  • You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.
  • You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
  • Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities.

The Ideal Candidate:
  • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.
  • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
  • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
  • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.
  • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Capital One is open to hiring a Remote Employee for this opportunity
Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen)
  • 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning)
  • 8+ years of experience designing mission-critical machine learning platforms
  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
  • Experience leading GenAI or LLM-Powered application architectures in production
  • Deep understanding of Responsible AI, data privacy and multi-tenant security patterns
  • K8s mastery (multi-region clusters, service mesh)
  • Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer
Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer
New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer
San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom