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Remote Optical Lens Manufacturing Jobs (NOW HIRING)

Muon Space

Senior Applied Scientist, Geospatial

$123K - $176K/yr

... remote sensing electro-optical and infrared imagery data applications and novel use cases ... Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing ...

Essilor

RCM Account Representative

Dallas, TX · Remote

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames ... This is a remote (work from home) position that requires a full 8 (consecutive) hour workday ...

Scout Space

Senior Mission Systems Engineer

Reston, VA · On-site +1

$108K - $148K/yr

... bus manufacturers to define CONOPs and mission requirements for spaceborne optical payloads ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

Cisco

E2E Business Architect (Remote)

San Jose, CA · On-site +1

$71.25 - $92.50/hr

Meet the Team Component Central Operations (CCO) supports Cisco's Silicon and Optical supply chains ... Manufacturing, Fulfillment, Forward & Reverse Logistics, Quality, Inventory Management, Order ...

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Remote Optical Lens Manufacturing information

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How much do remote optical lens manufacturing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote optical lens manufacturing in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $27.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote optical lens manufacturing roles, and how can they be addressed?

Professionals in remote optical lens manufacturing often encounter challenges such as maintaining precision in lens specifications while working with virtual teams and ensuring quality control without direct, in-person supervision. Communication across different time zones and reliance on digital tools for sharing technical details can also be hurdles. To overcome these, it's important to use robust project management software, adhere to standardized operating procedures, and participate in regular virtual check-ins with quality assurance teams. Building strong remote collaboration habits and staying updated on the latest manufacturing technologies can help ensure success in this role.

What is remote optical lens manufacturing?

Remote optical lens manufacturing is the process of designing, producing, and finishing optical lenses, such as those for eyeglasses or cameras, using digital technologies that allow technicians to work from locations outside of a central manufacturing facility. This often involves receiving digital prescriptions or lens specifications, operating computer-controlled machinery remotely, and coordinating with local labs or shipping centers. Remote manufacturing increases efficiency, reduces costs, and enables faster delivery of customized lenses. It requires a combination of technical skills, familiarity with optical standards, and the ability to troubleshoot issues using remote communication tools.

What is the difference between Remote Optical Lens Manufacturing vs Remote Optical Lens Assembler?

AspectRemote Optical Lens ManufacturingRemote Optical Lens Assembler
CredentialsTechnical certifications, optical manufacturing trainingBasic assembly skills, technical knowledge
Work EnvironmentManufacturing facilities, labs, remote setups for design/testingAssembly lines, remote work for quality checks
Industry UsageOptical manufacturing companies, labsOptical product assembly companies, labs
Job FocusDesign, production, quality control of lensesAssembling lenses, quality inspection

Remote Optical Lens Manufacturing involves designing and producing lenses, requiring technical certifications and working in manufacturing environments. In contrast, Remote Optical Lens Assembler focuses on assembling and inspecting lenses, often with basic technical skills. Both roles are essential in the optical industry but differ in responsibilities and work settings.

What are the key skills and qualifications needed to thrive in Remote Optical Lens Manufacturing, and why are they important?

To excel in Remote Optical Lens Manufacturing, you need a solid understanding of optical science, precision measurement, and quality control, often backed by a relevant technical degree or vocational training. Familiarity with computer-aided design (CAD) software, lens grinding and coating machinery, and remote monitoring systems is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills in this field. These competencies ensure the accurate production of high-quality lenses and efficient coordination across geographically distributed teams.
More about Remote Optical Lens Manufacturing jobs
What cities are hiring for Remote Optical Lens Manufacturing jobs? Cities with the most Remote Optical Lens Manufacturing job openings:
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What states have the most Remote Optical Lens Manufacturing jobs? States with the most job openings for Remote Optical Lens Manufacturing jobs include:
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Remote Optical Lens Manufacturing jobs near you
Infographic showing various Remote Optical Lens Manufacturing job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $52,688 per year, or $25.3 per hour.
Lead AI Engineer, Business Operations (Hybrid or Remote)

Lead AI Engineer, Business Operations (Hybrid or Remote)

Afl Telecommunications Llc

Dallas, TX • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. 

What We Offer:  

  • Flexible time off policy 
  • 401K Company match (up to 4% — dollar for dollar) 
  • Professional development, training, and tuition reimbursement programs 
  • Excellent medical, dental, vision, and life insurance policy options 
  • Opportunities for career advancement with an industry leading company! 

We are seeking a Lead AI Engineer to join our Business Operations team. This position may be able to work remotely from anywhere within the United States.  

The Lead AI Engineer is the first engineering hire on AFL's AI Enablement team, responsible for designing, building, and deploying agentic AI systems that automate the operational backbone of the business through workflow orchestration, model adaptation, and analytics. Working directly with the AI Enablement Manager, the Lead AI Engineer will help lay the technical foundation the rest of the team will build on — including model selection and management, deployment posture, orchestration patterns, evaluation and audit. As the team grows, an AI Product Manager and AI Operations Specialists will join to take on intake, sequencing, stakeholder coordination, and product ownership of deployed solutions, allowing engineers to stay focused on build work. 

Responsibilities:  

Key responsibilities/essential functions include: 

Architecture & Technical Foundation  

  • Establishes the architectural patterns, evaluation practices, and deployment standards for the team 
  • Makes framework and model recommendations that set the foundation for how the team builds — evaluates orchestration frameworks, selects deployment patterns, trains and fine-tunes models, and determines where managed platforms end and custom build begins 

Solution Design & Delivery  

  • Translates proposed business solutions into technical plans — defines product life cycles, prioritizes the backlog, and breaks initiatives into buildable work 
  • Owns solutions end-to-end: technical planning, architecture, build, deploy, and the monitoring that keeps them honest in production 

Production Reliability  

  • Builds the monitoring, evaluation, and regression detection systems that keep production agents reliable — including logging, performance benchmarking, and feedback loops that surface drift early 

Governance & Collaboration  

  • Partners with data governance to ensure solutions meet compliance, data quality, and operational standards 

Personal Qualities:  

  • Innovative and tech-savvy, with deep curiosity about emerging AI capabilities and how to apply them 
  • Analytical and detail-oriented, with a strong engineering mindset 
  • Collaborative and communicative, able to translate complex technical concepts for non-technical stakeholders 
  • Self-directed and accountable, able to set technical direction and drive execution independently 

Qualifications:  

  • Bachelor's degree in Computer Science or related field, or equivalent experience 
  • 7+ years of software engineering experience with a strong full-stack foundation — backend services, API design, system integration, and data infrastructure 
  • Recent hands-on experience building AI or LLM-backed systems and shipping them to production 
  • Experience architecting solutions from scratch and owning them through deployment, observability, testing, and ongoing reliability 
  • Experience with AI development practices — model selection, fine-tuning, prompt engineering, evaluation frameworks, and understanding when each approach is the right fit 
  • Proficiency in Python; experience with cloud platforms 
  • Experience mentoring engineers and setting technical direction across multiple initiatives 
  • Strong communication skills with both technical and non-technical stakeholders

Working Conditions:  

  • Environment: Remote work environment (US-based). 
  • Travel: Occasional travel (domestic) as needed. 

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