Remote Quality Management Consultant Jobs
Remote quality management consultant jobs are actively hiring across the U.S., with remote-first firms and distributed teams bringing on consultants to build, audit, and improve quality systems without an on-site requirement. Industries including manufacturing, healthcare, and professional services are driving demand, and employers hiring remotely right now include SME Careers by SuperAnnotate, Huron Consulting, and Humana. See the openings below and apply to the ones that match your experience.
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Showing 5 of 767+ Remote Quality Management Consultant jobs
Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 years experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 years experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of 10% subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.
Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 years experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 years experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of 10% subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.
Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
See All 767+ Remote Quality Management Consultant Jobs
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Find JobsRemote Quality Management Consultant Job Market
Who's Hiring
- SME Careers by SuperAnnotate26S
- Huron Consulting21
- Humana15
- Saint-Gobain12
- EPAM Systems11
Top Industries Hiring
- Technology & Software17
- Consulting & Professional Services14
- Healthcare & Medical Services11
- Insurance6
- Manufacturing5
What Employers Look For
The qualifications that appear most often in remote quality management consultant jobs.
- Bachelor's degree in engineering, quality management, or a closely related field
- Certified Quality Auditor or Certified Quality Manager credential from ASQ
- Hands-on experience with ISO 9001, AS9100, or similar quality management standards
- Proficiency in root cause analysis tools such as 8D, FMEA, and fishbone diagrams
- Experience using quality management software and document control systems
- Strong written communication skills for producing audit reports and corrective action plans
Tips for Your Remote Quality Management Consultant Job Search
Apply early to remote roles that fit
Migrate Mate lists remote quality management consultant openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings. Remote positions often close fast, so applying early improves your chances.
Show your async communication skills upfront
Remote quality management consultants communicate findings, audit results, and corrective action plans almost entirely in writing. Use your resume and cover letter to highlight reports you've written, process documentation you've produced, or any work you've delivered to stakeholders without in-person meetings.
Demonstrate proficiency with digital quality systems
Remote employers want consultants who don't need IT hand-holding. Name the specific EQMS platforms, cloud-based audit tools, or document control systems you've used, and describe how you used them to manage quality workflows across locations or departments.
Build a portfolio of documented quality outcomes
Create a short portfolio or case study document showing one or two quality projects you led, the problem you addressed, your approach, and the measurable result. Remote hiring managers can't observe your work in person, so tangible evidence of past outcomes does the credibility work for you.
Remote Quality Management Consultant Jobs: Frequently Asked Questions
How do I get a remote quality management consultant job?
Target companies with distributed teams or remote-first operations, since they've already built the infrastructure for consultants to deliver work asynchronously. Remote employers screen heavily for self-direction, clear written communication, and familiarity with digital quality management systems like EQMS platforms or cloud-based audit tools. Candidates who can show documented results, like a completed gap analysis or a corrective action program they designed, stand out more than those who rely on in-person references alone.
Which companies hire remote quality management consultants?
Companies hiring remote quality management consultants right now include SME Careers by SuperAnnotate, Huron Consulting, and Humana, based on current remote listings on Migrate Mate as of November 2026. Remote openings typically come from remote-first consulting firms, distributed healthcare and life sciences organizations, and manufacturing companies that manage multi-site operations and need quality oversight that isn't tied to a single facility.
Can you get a remote quality management consultant job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. Your best path in is through remote-friendly consulting firms or companies in regulated industries that hire junior quality associates and train remotely. Showing completed coursework in ISO standards, a personal audit project, or a quality improvement case study gives hiring managers something concrete to evaluate when you don't have years of experience.
Do you need a degree for remote quality management consultant jobs?
Not always. Many remote employers care more about relevant certifications, like CQA, CQE, or ISO lead auditor credentials, than a specific degree. Demonstrable experience running audits, managing corrective action processes, or implementing quality management systems carries significant weight, especially for contract and project-based remote roles where the deliverable matters more than your educational background.
Which industries hire the most remote quality management consultants?
Most remote quality management consultant openings sit in Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, per current remote listings on Migrate Mate as of November 2026. These sectors hire quality management consultants remotely because their operations involve distributed teams, multi-site compliance requirements, or geographically spread supply chains that need consistent quality oversight without requiring a consultant to be physically present.
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Find roles that match your experience and apply in just a few clicks.
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