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Remote Ediscovery Jobs in Minnesota (NOW HIRING)

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Remote Ediscovery information

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$22.8K

$91.5K

$167.1K

How much do remote ediscovery jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote ediscovery in Minnesota is $91,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,240.00 and $114,651.00 per year, depending on experience, location, and employer.

What is a remote ediscovery professional?

A Remote Ediscovery professional is someone who manages the identification, collection, processing, and analysis of electronic data for legal cases, all while working from a remote location. These professionals support law firms, corporations, or government agencies in handling electronically stored information (ESI) relevant to litigation, investigations, or regulatory matters. Their work often involves using specialized software to organize, review, and produce digital evidence, ensuring compliance with legal standards and data privacy laws.

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

To thrive as a Remote Ediscovery Specialist, you need a solid understanding of electronic discovery processes, legal procedures, and data management, usually supported by a degree in law, information technology, or a related field. Familiarity with eDiscovery platforms (such as Relativity or Logikcull), document review software, and certifications like CEDS (Certified E-Discovery Specialist) are often required. Excellent attention to detail, strong analytical thinking, and clear communication skills are vital for success in a remote environment. These competencies ensure accurate, efficient handling of sensitive legal data, compliance with regulations, and effective collaboration with legal teams.

What is the difference between Remote Ediscovery vs Remote Litigation Support Specialist?

AspectRemote EdiscoveryRemote Litigation Support Specialist
CredentialsLegal or IT certifications, e.g., Certified Ediscovery Specialist (CEDS)Legal or IT certifications, e.g., Certified Litigation Support Professional (CLSP)
Work EnvironmentLegal firms, e-discovery vendors, corporate legal departmentsLaw firms, courts, legal departments, e-discovery vendors
Industry UsagePrimarily in legal and e-discovery sectorsLegal industry, litigation support services

Remote Ediscovery focuses on managing electronic data for legal cases, including data collection, review, and production. Remote Litigation Support Specialists assist with case preparation, document management, and trial support. While both roles involve legal data, Ediscovery is more specialized in electronic data processing, whereas Litigation Support covers broader case support tasks.

What are the typical collaboration challenges faced by remote ediscovery professionals, and how can they be addressed?

Remote eDiscovery professionals often collaborate with legal teams, IT staff, and external vendors across different locations and time zones. Common challenges include coordinating workflows, maintaining secure and efficient communication, and ensuring the integrity of sensitive data. These can be addressed by using secure project management platforms, establishing clear protocols for information sharing, and scheduling regular virtual check-ins to keep all stakeholders aligned. Adapting to these practices helps foster teamwork and ensures a smooth eDiscovery process even in a fully remote setting.

What are the qualifications to get a remote ediscovery job?

Required qualifications depend in part on the particular eDiscovery position. Those working as discovery analysts need at least a bachelor’s degree, but a graduate degree is beneficial. Necessary skills include strong logic, analytical, and communication skills. eDiscovery project managers need a bachelor’s degree and prior experience in the legal field, especially as related to eDiscovery. An associate consultant may need advanced legal or technical certifications or education. Employers prefer applicants with prior experience, familiarity with various email archive platforms, and excellent written and oral communication skills.

What are the most commonly searched types of Ediscovery jobs in Minnesota? The most popular types of Ediscovery jobs in Minnesota are:
What are popular job titles related to Remote Ediscovery jobs in Minnesota? For Remote Ediscovery jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Ediscovery jobs? Cities in Minnesota with the most Remote Ediscovery job openings:
Infographic showing various Remote Ediscovery job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $91,492 per year, or $44 per hour.

Lead AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$104K - $137K/yr

Full-time

Retirement

Re-posted 20 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

188th of 887 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

As a Lead AI/ML Engineer on our Behavioral Health Technology team, you will design, develop, and implement enterprise-scale machine learning systems and artificial intelligence solutions. Our team's mission is to advance clinical and administrative excellence in behavioral health by leveraging advanced technologies like deep learning, natural language processing, and generative AI. In this role, you will have the unique opportunity to work on highly impactful datasets, architect production-ready ML pipelines, and collaborate with cross-functional partners to build cutting-edge solutions that directly improve health outcomes. You will leverage modern AI/ML frameworks, cloud environments (such as Azure, AWS, or GCP), and automated MLOps workflows to deliver scalable, secure, and responsible AI applications.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Own Discovery, technical scoping, system Design, build, and deploy production-grade machine learning models and scalable AI solutions to address complex business challenges, emphasizing responsible and ethical use of AI
  • Design and implement end-to-end MLOps pipelines, including data ingestion, feature engineering, model training, validation, deployment, and automated monitoring
  • Evaluate emerging AI/ML trends, frameworks, and methodologies to inform solution design, drive strategic innovation, and continuously optimize existing models
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex business requirements into robust, reusable AI capabilities
  • Provide technical leadership, mentorship, and guidance to junior and mid-level engineers, championing engineering best practices and architectural standards
  • Troubleshoot, optimize, and maintain deployed models and pipelines to ensure high availability, scalability, and performance in production environments
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement within the engineering lifecycle

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related quantitative field (or equivalent global degree)
  • 10 years of experience in Software Development industry
  • 2 years of AI/ML engineering experience, with a proven track record of designing, building, and deploying ML models in a production environment
  • 2 years of experience with Python and core ML libraries
  • 2 years of experience building and automating end-to-end MLOps pipelines (e.g., using MLflow, Kubeflow, Airflow, or cloud-native tooling)
  • Experience with cloud platform environments (e.g., Azure, AWS, or Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes)
  • Solid knowledge of software engineering best practices, including version control (Git), CI/CD pipelines, and unit testing

Preferred Qualifications:

  • Experience with Generative AI, Large Language Models (LLMs), prompt engineering, or retrieval-augmented generation (RAG) frameworks
  • Experience with distributed computing frameworks (e.g., Spark, Ray) and high-performance computing
  • Experience working in the healthcare sector, specifically in clinical or behavioral health technology domains
  • Solid understanding of data engineering principles, relational and non-relational databases (SQL, NoSQL, Vector databases)
  • Proven excellent communication and presentation skills, with the ability to explain complex technical AI/ML concepts to non-technical stakeholders

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 

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