ZipRecruiter

Log In

2

Remote Factory Worker Jobs in Washington (NOW HIRING)

HHAeXchange

Platform Engineer

Washington, DC · Remote

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas ... Contribute to our "factory model" vision by making deployment and reliability a repeatable ...

Skillforce

Skilled Laborers

Sterling, VA · Remote

$25 - $30/hr

Comfortable working outdoors in varying weather conditions * Ability to use common hand tools safely and effectively * Reliable transportation and consistent attendance required * Ability to pass a ...

Air Force District of Washington

Laborer

Andrews, MD · On-site +1

$18.93/hr

Working Conditions: Work is performed outside in all kinds of weather and inside in areas that may be dusty, drafty and noisy. Mishandling of the equipment, tools and tasks involved may result in ...

previous page

Showing results 41-46

All JobsFactory Worker JobsRemote Factory Worker JobsRemote Factory Worker Jobs in Washington

Remote Factory Worker information

See Washington salary details

$12

$19

$24

How much do remote factory worker jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote factory worker in Washington is $19.10, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $20.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote factory worker, and why are they important?

To thrive as a Remote Factory Worker, you need strong attention to detail, manual dexterity, and a basic understanding of manufacturing processes, often with a high school diploma or equivalent. Familiarity with remote monitoring systems, digital communication tools, and inventory management software is typically required. Reliability, effective communication, and the ability to work independently are essential soft skills for success in this remote environment. These skills and qualities ensure productivity, accuracy, and smooth collaboration despite the physical distance from the factory floor.

What is the difference between Remote Factory Worker vs On-site Factory Worker?

AspectRemote Factory WorkerOn-site Factory Worker
Work EnvironmentPerforms tasks remotely, often using digital tools and communication platformsWorks physically on the factory floor or production site
Required CredentialsBasic technical skills, sometimes certifications in machinery or safetySimilar certifications, often including safety and equipment operation
Industry UsageEmerging in roles like remote monitoring, quality control, or administrative supportTraditional manufacturing, assembly, and production roles
Work FlexibilityHigher flexibility, often with scheduled remote tasksFixed shifts on the factory floor

The main difference between Remote Factory Worker and On-site Factory Worker lies in the work environment and task location. Remote Factory Workers perform certain duties remotely, leveraging digital tools, while On-site Factory Workers are physically present at the production site. Both roles may require similar certifications, but the remote role offers more flexibility and is increasingly common in modern manufacturing support functions.

What is a remote factory worker?

A remote factory worker is someone who operates, monitors, or controls factory machinery and production processes from a location outside the physical factory, often using digital tools and remote access technology. This role can involve tasks such as overseeing automated equipment, quality control, data analysis, and troubleshooting technical issues, all performed via computer interfaces. Remote factory work is becoming more common with advancements in automation and the Industrial Internet of Things (IIoT), allowing for increased flexibility and efficiency in manufacturing operations.

How do remote factory workers typically stay connected with on-site teams to ensure smooth production processes?

Remote factory workers often use specialized software platforms and communication tools to collaborate with on-site teams. This usually involves regular video meetings, real-time chat channels, and shared dashboards to monitor production metrics and address issues quickly. Building strong communication routines is key to overcoming the challenge of not being physically present on the factory floor, and most companies provide structured check-ins and clear protocols to keep everyone aligned. Successful remote factory workers are proactive in reaching out and documenting their work to promote transparency and teamwork.
What are the most commonly searched types of Factory Worker jobs in Washington? The most popular types of Factory Worker jobs in Washington are:
What are popular job titles related to Remote Factory Worker jobs in Washington? For Remote Factory Worker jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Factory Worker jobs in Washington look for? The top searched job categories for Remote Factory Worker jobs in Washington are:
Remote Factory Worker jobs near you

Platform Engineer

HHAeXchange

Washington, DC • Remote

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago

Job description

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the Director of Analytics, this role sits at the intersection of platform reliability and delivery automation - ensuring the infrastructure that powers our AI platform, data pipelines, and internal applications is stable, scalable, and continuously improving.

This is a hands-on engineering role embedded within a team building Layer 1 of HHAeXchange's AI Platform - the core machinery that enables AI-powered capabilities across the organization. The engineer will own the reliability and deployment lifecycle of that infrastructure, working closely with AI Platform Engineers and Data & AI Engineers to operationalize everything we build on AWS.

As our AI platform matures and internal tooling expands, this role becomes the connective tissue between development velocity and production stability - ensuring that what gets built gets shipped reliably, monitored proactively, and scaled confidently.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Essential Job Duties

Platform Reliability (SRE)

  • Own availability, latency, and performance targets for AI platform services and data infrastructure running on AWS
  • Design and implement monitoring, alerting, and observability frameworks across the platform stack
  • Lead incident response, root cause analysis, and post-mortem processes for platform-level outages or degradations
  • Define and track SLOs/SLAs for core platform primitives including RAG pipelines, agent orchestration services, and model access layers
  • Proactively identify reliability risks and drive engineering improvements before they become production issues
  • Build and maintain runbooks, disaster recovery procedures, and operational documentation

DevOps & Delivery Automation

  • Design, build, and maintain CI/CD pipelines for AI platform components, data pipelines, and internal applications
  • Own infrastructure-as-code (IaC) practices across the team using tools such as Terraform or AWS CDK
  • Manage and optimize AWS environments including ECS, Lambda, S3, RDS, Redshift, API Gateway, and related services
  • Implement and enforce security, compliance, and cost optimization best practices across AWS infrastructure
  • Automate deployment, scaling, and configuration management to reduce manual operational overhead
  • Partner with AI Platform Engineers to containerize and operationalize AI services and agent frameworks
  • Support Data & AI Engineers with environment management, access controls, and deployment tooling for Polaris and data pipeline infrastructure

Cross-Team Enablement

  • Serve as the operational backbone for the AI platform team - ensuring engineers can ship and iterate quickly without being blocked by infrastructure concerns
  • Contribute to our "factory model" vision by making deployment and reliability a repeatable, scalable capability rather than an ad hoc function
Other Job Duties
  • Other duties as assigned by supervisor or HHAeXchange leader.
Travel Requirements
  • Travel up to 10%, including overnight travel
Required Education, Experience, Certifications and Skills
  • 3+ years of professional experience in a DevOps, SRE, or platform engineering role
  • Hands-on AWS experience required - AgentCore, Bedrock, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC, and related services
  • Experience with infrastructure-as-code tools such as Terraform or AWS CDK
  • Strong CI/CD experience with tools such as GitHub Actions
  • Experience with containerization and orchestration (Docker, ECS, or Kubernetes)
  • Familiarity with AI/ML infrastructure patterns - model serving, vector databases, pipeline orchestration (strongly preferred)
  • Experience with observability and monitoring tooling (Datadog, CloudWatch)
  • Prior experience in a SaaS environment
  • Strong verbal and written communication skills with ability to collaborate across technical and non-technical stakeholders
  • Self-starter with a proactive approach to identifying and resolving infrastructure risk before it impacts delivery
  • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role.
The base salary range for this US-based, full-time, and exempt position is $110,000-120,000/yr, not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.
 
This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.
 
HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply