2

Remote Manufacturing Quality Engineer Jobs in Washington

About the Role We are seeking an experienced Salesforce QA Engineer with hands-on experience with manual and automation testing to join our fast-growing team. We're looking for team members who bring ...

We are seeking a skilled and detail-oriented Software Quality Assurance Engineer to ensure the ... Professional Development and Remote Work Expenses Eligible employees may be reimbursed up to $750 ...

New

Software Quality Assurance Engineer FULL-TIME, WASHINGTON, D.C. About the job Throne aims to ... Ability to communicate effectively with on-site and remote teams, and explain technical concepts ...

Work with engineering, manufacturing, quality, and supplier partners to source first-of-a-kind equipment and components critical to reactor success. Our ideal candidate has a strong, continuing ...

Showing results 21-40

Remote Manufacturing Quality Engineer information

What are the key skills and qualifications needed to thrive as a remote manufacturing quality engineer?

To thrive as a Remote Manufacturing Quality Engineer, you need a solid background in engineering principles, quality control methodologies, and a relevant degree, often coupled with certifications like Six Sigma or ASQ CQE. Familiarity with quality management systems (QMS), statistical analysis software, and remote collaboration tools is crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you address quality issues and work with cross-functional teams from a distance. These skills and qualifications are vital for maintaining high product standards and effective process improvements, even when working remotely.

What is a remote manufacturing quality engineer?

A Remote Manufacturing Quality Engineer is a professional who oversees and ensures the quality of manufacturing processes and products, but works primarily from a remote location rather than on-site at a factory or plant. They use digital tools, data analysis, and virtual collaboration to monitor production standards, conduct audits, and resolve quality issues. These engineers coordinate with on-site teams to implement quality control measures, review compliance with industry standards, and suggest improvements. Remote Quality Engineers play a key role in maintaining product reliability and customer satisfaction while leveraging technology to work efficiently from anywhere.

What is the difference between Remote Manufacturing Quality Engineer vs Remote Manufacturing Quality Technician?

AspectRemote Manufacturing Quality EngineerRemote Manufacturing Quality Technician
CredentialsBachelor's in Engineering or Quality Management, certifications like ASQ CQEAssociate's or technical diploma, certifications like ASQ CQTA
Work EnvironmentDesigning quality systems, analyzing data, process improvementInspecting products, conducting tests, recording quality data
Industry UsageUsed across manufacturing sectors for quality assurance and process developmentPrimarily involved in inspection and testing roles within manufacturing

The Remote Manufacturing Quality Engineer focuses on developing quality systems and process improvements, requiring advanced certifications and engineering knowledge. In contrast, the Remote Manufacturing Quality Technician handles product inspections and testing, often with technical diplomas. Both roles are essential in manufacturing but differ in responsibilities and qualifications.

How does a remote manufacturing quality engineer effectively collaborate with on-site teams to ensure product quality?

Remote Manufacturing Quality Engineers frequently communicate with on-site production and quality teams through video calls, digital dashboards, and collaborative project management tools. They review process data, analyze quality reports, and provide input on corrective actions, often scheduling regular virtual meetings to align on quality standards and resolve issues. Building strong relationships and maintaining clear, proactive communication are key to ensuring that remote work does not hinder timely problem-solving or implementation of quality improvements.
What are the most commonly searched types of Manufacturing Quality Engineer jobs in Washington? The most popular types of Manufacturing Quality Engineer jobs in Washington are:
What are popular job titles related to Remote Manufacturing Quality Engineer jobs in Washington? For Remote Manufacturing Quality Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Manufacturing Quality Engineer jobs in Washington look for? The top searched job categories for Remote Manufacturing Quality Engineer jobs in Washington are:
Infographic showing various Remote Manufacturing Quality Engineer job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

AI QA Analyst - 100% REMOTE

System One Holdings, LLC

Washington, DC โ€ข On-site, Remote

$60 - $80/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job Title: AI QA Analyst
Location: 100% Remote
Type: Long-Term Contract
Compensation: Negotiable, W-2 or C2C
Work Model: Remote - offsite
Hours: 40 hours a week
Security Clearance: No clearance but must pass background check which will include credit check

Ideal Candidate Profile
A highly technical analyst who understands both modern software engineering and AI systems. This individual can independently assess whether an AI solution is accurate, secure, explainable, compliant, observable, and ready for production. They serve as the organization's independent quality authority for AI-powered solutions and help establish confidence in enterprise AI deployments before release to production.

Responsibilities
โ€ข Establish and execute quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions
โ€ข Develop and implement evaluation frameworks measuring accuracy, relevance, groundedness, completeness, hallucination rates, retrieval quality, recommendation quality, and user satisfaction
โ€ข Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories
โ€ข Perform architecture reviews and quality assessments for AI solutions deployed on Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB
โ€ข Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, guardrails, retrieval pipelines, and human-in-the-loop processes
โ€ข Validate security, governance, auditability, and compliance controls, including integrations with Entra ID, RBAC, managed identities, Key Vault, and data policies
โ€ข Create production readiness checklists covering observability, monitoring, resiliency, recoverability, and operational support
โ€ข Analyze traces, logs, metrics, and telemetry data to identify quality concerns and improvement opportunities
โ€ข Collaborate with development teams for remediation of quality, security, and performance issues before deployment
โ€ข Generate certification reports, scorecards, dashboards, and executive summaries for leadership review
โ€ข Drive continuous improvements to validation methodologies, testing strategies, and evaluation frameworks
โ€ข Lead certification and production readiness reviews for internal developer portals and platform initiatives
Requirements
โ€ข Bachelor's Degree in Computer Science, Software Engineering, Data Science, AI, or related field
โ€ข 5+ years of experience in software quality engineering, platform engineering, software development, or related roles
โ€ข 2+ years working directly with Generative AI, LLMs, RAG architectures, AI agents, or AI applications
โ€ข Strong understanding of AI evaluation methodologies including accuracy testing and hallucination detection
โ€ข Experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, or similar frameworks
โ€ข Familiarity with cloud-native architectures and Azure services (Container Apps, Functions, Databricks, SQL, Key Vault, Cosmos DB)
โ€ข Experience supporting enterprise developer platforms and self-service engineering capabilities
โ€ข Skilled in designing automated test strategies, regression testing, and certification processes
โ€ข Strong analytical, troubleshooting, and documentation skills
โ€ข Excellent stakeholder engagement and communication abilities
Preferred Qualifications
โ€ข Experience building or validating enterprise AI agents and multi-agent systems
โ€ข Knowledge of AI observability and evaluation platforms like LangSmith
โ€ข Familiarity with knowledge retrieval solutions, embeddings, and semantic search
โ€ข Background in AI governance, Responsible AI, and compliance frameworks
โ€ข Experience working in regulated industries such as healthcare, finance, or insurance
โ€ข Proficiency with Azure DevOps, GitHub, and SDLC tooling
โ€ข Knowledge of identity management concepts including Entra ID and RBAC
โ€ข Ability to produce quality scorecards, dashboards, and KPI reports
System One, and its subsidiaries including Joulรฉ and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
#M1
#LI-CB3
Ref: #851-Rockville-S1