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Remote Quality Engineer Jobs in Minnesota (NOW HIRING)

BHI Energy

Solar Engineer

Minneapolis, MN · On-site +1

Remote -must live near one of the locations listed below Locations: Bloomington, MN Geotechnical ... Perform quality review of work performed by assigned staff; identify, investigate, and resolve ...

Evs

Power Studies Engineer

Eden Prairie, MN · On-site +1

$90K - $120K/yr

Eden Prairie, MN | Hybrid | Remote Schedule: Full-Time Salary: $90,000 - $120,000 (based on ... Prepare study reports, perform self-QC, and review project inputs, standards, and client ...

BHI Energy

Sr. Wind Engineer

Minneapolis, MN · On-site +1

$109K - $149K/yr

Remote -must live near one of the locations listed below * Bloomington, MN * Geotechnical/Civil ... Perform quality review of work performed by assigned staff; identify, investigate, and resolve ...

Fluence Corp.

Process Engineer

Minneapolis, MN · On-site +1

$125K - $140K/yr

This is a remote role however we do have a strong preference for someone in MN, WI, PA. * Develops ... Responsible for developing quality assurance of all process design and manufactured parts for the ...

micro1 AI

AI Training - Software Engineer

Minneapolis, MN · Remote

$245 - $280/hr

Remote About the Role micro1 is partnering with a leading AI lab to hire senior software engineers ... Evaluate AI-generated code for correctness, quality, and design * Write challenging coding problems ...

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Showing results 21-40

All JobsQuality Engineer JobsRemote Quality Engineer JobsRemote Quality Engineer Jobs in Minnesota

Remote Quality Engineer information

See Minnesota salary details

$44.1K

$82.3K

$116.5K

How much do remote quality engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote quality engineer in Minnesota is $82,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $91,100.00 per year, depending on experience, location, and employer.

What is a remote quality engineer?

A Remote Quality Engineer is responsible for ensuring the quality and reliability of products or services while working remotely. They develop and execute test plans, identify defects, and collaborate with development teams to improve processes. Their role may involve automation testing, performance testing, or software validation, depending on the industry. Strong analytical skills, attention to detail, and knowledge of quality assurance methodologies are essential.

What does a remote quality engineer do?

A typical day for a Remote Quality Engineer involves reviewing requirements, designing and executing test cases, logging defects, and collaborating with developers and product managers via virtual meetings and online tools. You may also spend time analyzing test results, automating repetitive tests, and verifying bug fixes in different environments. Communication is key, so regular updates and status reports are often shared through team platforms like Slack or Jira. This role is dynamic and may require adapting to evolving project priorities while maintaining high-quality deliverables.

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

To thrive as a Remote Quality Engineer, you need a solid background in quality assurance principles, software testing methodologies, and a relevant engineering or computer science degree. Familiarity with automated testing frameworks (like Selenium or JUnit), defect tracking systems, and certifications such as ISTQB or Six Sigma are often expected. Exceptional problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills set top candidates apart. These capabilities are vital for maintaining product quality, collaborating across distributed teams, and ensuring continual process improvement from a distance.

Can remote quality engineers work from home?

Remote quality engineers can work from home, as many companies allow this role to be performed virtually. They typically use tools like test management software, collaboration platforms, and require strong communication skills to coordinate with teams remotely.

Is a remote quality engineer still in demand?

Remote quality engineers are in high demand as companies prioritize software quality and remote work flexibility. Skills in automation tools, testing frameworks, and continuous integration are especially valuable in this role, which often requires collaboration across distributed teams.

Is there a demand for a remote quality engineer?

There is strong demand for remote quality engineers across various industries, as companies seek professionals skilled in testing, automation tools, and quality assurance processes. The role often requires knowledge of programming, testing frameworks, and certifications like ISTQB, with many organizations offering flexible remote work arrangements.

What are the most commonly searched types of Quality Engineer jobs in Minnesota?

The most popular types of Quality Engineer jobs in Minnesota are:

What are popular job titles related to Remote Quality Engineer jobs in Minnesota?

For Remote Quality Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Quality Engineer jobs in Minnesota look for?

The top searched job categories for Remote Quality Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Quality Engineer jobs?

Cities in Minnesota with the most Remote Quality Engineer job openings:

Infographic showing various Remote Quality Engineer job openings in Minnesota as of September 2026, with employment types broken down into 2% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $82,309 per year, or $39.6 per hour.

Lead Machine Learning Engineer - Remote Eligible

Minneapolis, MN • On-site, Remote

General Mills
Manufacturing • 10K+ employees
Learn more about General Millsexternal

$107K - $140K/yr

Full-time

Re-posted 4 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

Job description

COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
JOB OVERVIEW:
General Mills is looking for a Lead ML Engineer. In this role, you are a technical lead within the AIA team focused on delivering the migration of machine learning-based solutions and agents from concept to production-level operational excellence. You will deliver initiatives such as building scalable, resilient, and automated solutions in GCP, Glean, UnifyApps, and other platforms to ensure that agents and models deliver on organizational objectives. You will professionally engineer solutions, taking into account notions of risk and effective/efficient use of computational resources.
KEY ACCOUNTABILITIES:
As a Lead ML Engineer, you will play a pivotal role in the overall success of high-priority projects including:
  • Leading complex machine learning and agentic projects involving multiple resources including full accountability for stakeholder management and expectation setting, project scoping and planning, requirements elicitation, and overall project success while adhering to timeline/resource constraints. Crucially, having the ability to provide stakeholders with a range of options for solving a stated business problem is needed.
  • Playing a key role in investigating, utilizing, and advocating for the use of generative and agentic tools to enhance the effectiveness of your team.
  • Ability to effectively integrate an AI solution into a larger, complex system potentially comprising many third-party applications within the General Mills ecosystem.
  • Research and operationalize technology and processes necessary to scale ML models and agentic solutions.
  • Recommend model changes to optimize cloud spend.
  • Automate monitoring of models both for failures and degradation.
  • Automate monitoring of data sources to identify issues and/or data changes.
  • Automate ML pipelines, logging of model usage, and predictions provided.
  • Improve ML pipeline documentation and understandability.
  • Harden code and processes to reduce or prevent failures.
  • Improve logging and diagnostic processes.
  • Lead the investigation and resolution of production issues, perform root cause analysis, and recommend changes to reduce/eliminate re-occurrence of issues.
  • Optimize deployment and change control processes for models.
  • Create and operationalize quality assurance processes for ML models.

MINIMUM QUALIFICATIONS:
  • Knowledge of project/program management terminology/concepts and the ability to leverage this knowledge to ensure the success of initiatives.
  • 4+ years professional experience as a software engineer, data scientist, or AI Engineer.
  • Strong background in statistical modeling including ARIMA, regression, and Random Forest models.
  • Background in optimization problems is strongly preferred.
  • Track record of producing machine learning models and agentic solutions at scale.
  • Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.
  • Passionate about agile software processes, data-driven development, reliability, and systematic experimentation.
  • Passion for learning new technologies and solving challenging problems.
  • Bachelors Degree
  • Comfort working with a Windows computer and Microsoft Office Suite
  • Comfort working with international partners and potentially flexing your calendar to meet the time zone needs.

PREFERRED QUALIFICATIONS:
  • Bachelors Degree in Computer Science, Engineering, IT or other related fields
  • 7+ years of related experience as a software engineer, data scientist or AI Engineer
  • Experience with deep code or custom code agentic frameworks (LangChain or LangGraph)
  • Experience productionizing Optimization Models
  • Experience with factory systems
  • Experience with real-time pipelines

ADDITIONAL CONSIDERATIONS:
  • We are open to remote employees within the United States with a preference for talent in the Minneapolis market.
  • International relocation or international remote working arrangements (outside of the US) will not be considered.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.

ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.

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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

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