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Machine Learning Teaching Remote Jobs in Worcester, MA

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Statics Tutor

Waltham, MA · Remote

$40/hr

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Statics Tutor

Newton, MA · Remote

$40/hr

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving:

... Learning Platform. No commuting required. * Get matched with students best-suited to your teaching ... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving:

Showing results 41-60

Machine Learning Teaching Remote information

See Worcester, MA salary details

$22.9K

$53.4K

$99.3K

How much do machine learning teaching remote jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning teaching remote in Worcester, MA is $53,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $59,900.00 per year, depending on experience, location, and employer.

What is a machine learning teaching remote?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What are the key skills and qualifications needed to thrive as a machine learning teaching remote, and why are they important?

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.

What are popular job titles related to Machine Learning Teaching Remote jobs in Worcester, MA?

For Machine Learning Teaching Remote jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Remote jobs in Worcester, MA look for?

The top searched job categories for Machine Learning Teaching Remote jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Machine Learning Teaching Remote jobs?

Cities near Worcester, MA with the most Machine Learning Teaching Remote job openings:

Senior DevOps Engineer (US REMOTE)

Waltham, MA • Remote

Motorola
Technology, Communication and Media • 10K+ employees

$140K - $170K/yr

Full-time

Medical, Dental, Retirement

Re-posted 20 days ago


Key responsibilities

  • Design, develop, and maintain scalable cloud infrastructure

  • Automate deployment, scaling, and monitoring of systems on that infrastructure

  • Collaborate with cross-functional teams to define and implement CI/CD pipelines


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe Rave organization within Motorola Solutions is responsible for SaaS products supporting the safety mission of public and private entities. We help our customers engage with responders, households, schools, businesses, employees, students and other stakeholders to deliver critical communications, coordinate response, and exchange life-saving information.
The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola and partner systems. As a team member within the Rave organization, you will be exposed to many other solutions offered by Motorola Solutions, the most trusted name in public safety
Job Description

We're looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a key role in building, maintaining, securing and deploying scalable cloud infrastructure and systems.

Responsibilities:

  • Design, develop, and maintain scalable cloud infrastructure

  • Automate deployment, scaling and monitoring of systems on that infrastructure

  • Collaborate with cross-functional teams to define and implement CI/CD pipelines

  • Build and manage containerized applications

  • Provision and support configuration of relational databases with an emphasis on high availability, security and reliability

  • Monitor, troubleshoot, and optimize system performance and reliability

  • Contribute to the creation and operation of robust disaster recovery and backup strategies

  • Manage developer tooling

  • Ensure compliance with regulatory, compliance and security frameworks

  • (Optionally) develop and support full stack Java-based applications

Required Skills:

  • Citizenship: Must be a US Citizen. This requirement is due to specific U.S. Government Contract Mandates and access to sensitive public safety data.

  • Experience with containers and container orchestration tooling (Kubernetes / Helm / Docker)

  • Experience designing and deploying solutions to cloud environments (AWS)

  • Experience with IaC tooling (Terraform or similar)

  • Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps)

  • Experience with DVCS tooling (Git, GitHub, BitBucket, Azure DevOps)

  • Experience with RDBMS systems including managing schema evolution, migration, replication and disaster recovery (MySQL or similar)

  • Experience with Linux including scripting (Bash)

Preferred Skills:

  • Experience with AI/machine learning technologies is strongly preferred.

  • Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

  • Awareness of compliance frameworks (e.g. FedRAMP, CCCS)

  • Experience with SIP/RTP

  • Experience with developer tooling (Artifactory, Sonar, Gradle)

  • Familiarity with observability tooling (Prometheus/Grafana, ELK Stack or similar)

  • Knowledge of secure coding practices, security frameworks, and tooling (e.g., OWASP, NIST, CIS, Prisma Cloud/Twistlock, Mend/WhiteSource)

Soft Skills:

  • Strong problem-solving and analytical skills

  • Effective communication and teamwork abilities

  • Self-motivated with a passion for continuous learning

  • Ability to take ownership of problems and deliver complete solutions

Target Base Salary Range:$140,000 USD - $170,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidate can live anywhere in the United States.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 8+ years of cloud infrastructure experience

  • AND 5+ years of software engineering/development experience

  • AND 2+ year of Kubernetes and Docker experience

  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.


Travel RequirementsNone
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928