ZipRecruiter

Log In

1

Root Learning Jobs (NOW HIRING)

7-ELEVEN

Learning Technology Consultant

Irving, TX

Administrator the learning management system including monitoring help desk tickets, determining root causes, and coordinating vendors, IT, and other stakeholders to resolve issues. * Serve as ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

About the company Root Access is a frontier electronics company. We are a NYC-based startup funded ... Design and train deep learning models. * Build the ECAD Data Pipeline: Develop high-performance ...

7-Eleven

Learning Technology Consultant

Irving, TX · On-site

Administrator the learning management system including monitoring help desk tickets, determining root causes, and coordinating vendors, IT, and other stakeholders to resolve issues. * Serve as ...

Lowe's

Learning Consultant

Mooresville, NC · On-site +1

As required designs, develops, and implements blended learning solutions that address root cause issues to drive business performance. As required, may serve as a facilitator using approved ...

Lowe's

Learning Consultant

Mooresville, NC · On-site +1

... that address root cause issues to drive business performance As required, may serve as a ... Learning, Leadership, Business or related field or equivalent years of experience in lieu of ...

Sonrava Health

Lead, Learning & Performance Solutions

$115K - $125K/yr

The Lead, Learning & Performance Solutions plays a critical role in advancing this mission by ... Analyze performance data, identify gaps, and uncover root causes impacting team effectiveness and ...

Booz Allen Hamilton

Learning Systems Lead

Mclean, VA

As the Learning Systems Lead, you will serve as the primary functional contact for our learning ... Lead functional troubleshooting, identify root causes, and partner with IT and vendors to resolve ...

next page

Showing results 1-20

All JobsRoot Learning Jobs

Root Learning information

See salary details

$26

$40

$69

How much do root learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for root learning in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Learning Experience Designer (Root Learning), and why are they important?

To thrive as a Learning Experience Designer, you need expertise in instructional design, adult learning principles, and curriculum development, often supported by a degree in education or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and possibly certifications like CPLP or ATD are typically required. Creativity, strong communication, and collaboration skills help designers create engaging, learner-centered experiences and work effectively with stakeholders. These skills ensure the development of impactful learning solutions that drive organizational performance and learner engagement.

What jobs pay 4000 a week without a degree?

Root learning roles or similar high-paying jobs without a degree are rare; most positions paying $4,000 weekly typically require specialized skills, experience, or certifications. Examples include certain sales roles, real estate agents, or skilled trades like electricians or plumbers, which may offer high earnings based on performance and commissions.

Which 3 jobs will survive AI?

Root Learning professionals, such as instructional designers, corporate trainers, and learning and development managers, are likely to survive AI because their roles require creativity, understanding of human behavior, and customization of training programs. While AI can assist with content creation and data analysis, these roles involve interpersonal skills and strategic planning that are less easily automated.

What is the difference between Root Learning vs Instructional Designer?

AspectRoot LearningInstructional Designer
CredentialsTypically requires training in learning theories, instructional design, or related certificationsRequires degrees or certifications in instructional design, education, or related fields
Work EnvironmentOften works in corporate training, e-learning development, or educational settingsWorks in educational institutions, corporate training, or e-learning development
Industry UsageCommonly used in corporate training and development sectorsWidely used across education, corporate, and government sectors

Root Learning focuses on creating engaging learning experiences often through visual storytelling and innovative methods, while Instructional Designers develop structured educational programs and materials based on pedagogical principles. Both roles aim to enhance learning but differ in approach and scope.

What jobs pay 700 a day?

Jobs that can pay $700 a day include specialized roles such as freelance consultants, project managers, or skilled trades like electricians and plumbers working on large projects. High-paying contract or temporary positions in fields like IT, construction, or consulting often offer daily rates in this range, especially for experienced professionals with relevant certifications and skills.

What jobs do ADHD people thrive in?

Root Learning professionals with ADHD often excel in jobs that involve creativity, problem-solving, and hands-on tasks, such as entrepreneurship, trades, or roles requiring quick thinking and adaptability. Jobs with flexible schedules, varied tasks, and opportunities for movement or sensory engagement can also support success for individuals with ADHD.

How does a Root Learning Consultant typically collaborate with clients and internal teams during a project?

As a Root Learning Consultant, you’ll work closely with client stakeholders to understand their organizational challenges and learning objectives. Collaboration involves regular meetings to gather insights, co-develop learning solutions, and iterate on deliverables based on feedback. Internally, you’ll partner with instructional designers, graphic artists, and project managers to ensure that the final learning experience aligns with both client needs and Root Learning’s standards. Strong communication and project management skills are essential, as you'll often bridge the gap between the client’s vision and the creative team’s execution.

What are Root Learning jobs?

Root Learning jobs typically involve creating educational materials and visual aids that simplify complex business processes, strategies, or changes within organizations. Professionals in these roles use visual storytelling, graphics, and interactive learning tools to help employees understand and engage with important information. Root Learning specialists often work with organizations during times of change, such as during mergers, new system implementations, or cultural shifts, to ensure everyone is aligned and informed. These roles require skills in communication, instructional design, and visual thinking.
More about Root Learning jobs
What states have the most Root Learning jobs? States with the most job openings for Root Learning jobs include:
What job categories do people searching Root Learning jobs look for? The top searched job categories for Root Learning jobs are:
Root Learning jobs near you
Infographic showing various Root Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.

Lead Machine Learning Engineer, Lifetime Value

Root Inc.

Remote

$164K - $205K/yr

Full-time

Re-posted 4 days ago

Job description

At Root, we're on a mission to improve the lives of our customers by offering better insurance solutions. We challenge ourselves to think differently in order to reimagine insurance to make it smarter, more equitable, and a better experience for all.
We strive to "unbreak" the archaic insurance industry by using data and technology in innovative new ways. We believe we must be steadfast in our commitments to research, experimentation, and disciplined data-driven decision making in order to build products our customers love.
The Opportunity
We believe that a disruptive insurance company must have a principled quantitative framework at its foundation. At Root, we are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is seeking a Lead Machine Learning Engineer I to help build the systems and workflows that power our customer lifetime value modeling ecosystem.
In this role, you will partner closely with data scientists, engineers, and business teams to build scalable machine learning systems that support high-impact decision-making across Marketing, Finance, Product, and Customer Experience. You will help accelerate the path from experimentation to production while improving the reliability and operational maturity of Root's ML ecosystem.
This role focuses on building the infrastructure, tooling, and operational patterns that allow machine learning systems to scale reliably in production. You will help shape the foundations that enable statistical models, simulations, and forecasts to drive measurable business impact across the organization.
The ideal candidate is a machine learning engineer who enjoys building high-leverage systems, improving how technical teams work, and enabling machine learning to operate reliably at scale.
Root is a "work where it works best" company, meaning we will support you working in whatever location works best for you across the U.S.
Salary Range: $164,000 - $205,000 (Eligible for Competitive Bonus & Equity Offering)
How You Will Make an Impact
  • Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support.
  • Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business.
  • Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling.
  • Improve the ML development experience by building better operational patterns and advancing production-ready ML practices.
  • Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production.
  • Collaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systems.
  • Share best practices through mentorship, documentation, and clear communication around technical decisions, tradeoffs, and operational considerations.

What You Will Need to Succeed
  • BS in Statistics, Mathematics, Engineering, or a related quantitative field.
  • 5+ years of experience designing, building, deploying, and maintaining machine learning systems and ML model pipelines in partnership with data scientists.
  • Strong Python and software engineering fundamentals, with the ability to build maintainable ML systems and production-quality code.
  • Experience building and operating production ML systems, including deployment, monitoring, debugging, and workflow orchestration.
  • Ability to design reproducible systems with clear lineage, versioning, and operational visibility across complex ML workflows.
  • Comfort working in ML systems with interconnected components, simulation-driven logic, and embedded business rules.
  • Strong judgment around model evaluation, code quality, system reliability, and maintainable engineering tradeoffs.
  • Experience with cloud-based ML infrastructure and data platforms such as AWS, GCP, or Azure.
  • Experience with infrastructure as code, such as Terraform.
  • Clear communication skills and the ability to explain technical tradeoffs to both technical and non-technical audiences.

Nice to Have
  • MS or PhD in Statistics, Mathematics, Engineering, or a related quantitative field.
  • Familiarity with customer lifetime value forecasting, simulation workflows, or Forecast vs. Actual analysis.
  • Experience with insurance or regulated financial products.
  • Exposure to ML and data tooling, orchestrators, and platforms such as MLflow, Airflow, Dagster, Snowflake, Databricks, dbt, and Spark
  • Experience building shared ML infrastructure, developer tooling, or reusable systems that improve data science productivity.

As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We're happy to talk it through.
Please see our Privacy Notice available HERE for more information on how we process your personal data.
Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com.

Apply