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Remote Economics Instructor Jobs (NOW HIRING)

WES

Instructional Designer (Remote)

Manhattan, NY · On-site +1

$86K - $108K/yr

... economic, and social inclusion of immigrants, refugees, and international students. For 50 years ... instructor-led materials. This role also collaborates with subject matter experts to transform ...

Kaplan, Inc.

Adjunct Faculty, CFP Education

$3.0K/wk

The instructor will serve as subject matter experts and student advocates while delivering ... Economic and quantitative analysis * Analysis of alternative investments/classes Additional ...

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Remote Economics Instructor information

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$33.5K

$59.6K

$119K

How much do remote economics instructor jobs pay per year?

As of Jun 29, 2026, the average yearly pay for remote economics instructor in the United States is $59,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Economics Instructor position, and why are they important?

A Remote Economics Instructor should have a solid academic background in economics, teaching experience, and a relevant degree—often a master's or higher. Familiarity with online learning management systems (such as Canvas, Blackboard, or Moodle), virtual conferencing tools, and possibly online teaching certifications is common in this field. Excellent communication, time management, and adaptability are important soft skills for engaging students and delivering content remotely. These skills and qualifications ensure effective online instruction, student engagement, and the ability to manage virtual classrooms successfully.

What does the typical work environment and schedule look like for a Remote Economics Instructor?

As a Remote Economics Instructor, you'll typically conduct courses from a home office or another quiet, professional setting, using video conferencing and online platforms to interact with students. Your schedule may vary depending on the institution, with some roles offering set class times while others allow for asynchronous, self-paced instruction. Responsibilities often include preparing lesson materials, delivering live or recorded lectures, grading assignments, and providing virtual office hours or individual support to students. While you may work independently, there are often opportunities to collaborate with other instructors and participate in departmental meetings online. This flexible, tech-driven environment is well-suited for self-motivated educators who enjoy working remotely and engaging with diverse student populations.

What is a Remote Economics Instructor job?

A Remote Economics Instructor teaches economics courses online to students at various levels, typically for a university, college, or online learning platform. They develop lesson plans, deliver lectures via video conferencing or pre-recorded content, and assess student progress through assignments and exams. Responsibilities may also include hosting virtual office hours, fostering discussions, and providing individualized support. This role requires strong communication skills, expertise in economics, and proficiency with online teaching tools.

More about Remote Economics Instructor jobs
What cities are hiring for Remote Economics Instructor jobs? Cities with the most Remote Economics Instructor job openings:
What are the most commonly searched types of Economics Instructor jobs? The most popular types of Economics Instructor jobs are:
What states have the most Remote Economics Instructor jobs? States with the most job openings for Remote Economics Instructor jobs include:
What job categories do people searching Remote Economics Instructor jobs look for? The top searched job categories for Remote Economics Instructor jobs are:
Remote Economics Instructor jobs near you
Infographic showing various Remote Economics Instructor job openings in the United States as of June 2026, with employment types broken down into 35% Full Time, 47% Part Time, 6% Temporary, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $59,560 per year, or $28.6 per hour.
Lead Instructor: MLOps / AI Platform Engineering

Lead Instructor: MLOps / AI Platform Engineering

General Assembly

Remote

$11K - $15K/wk

Full-time, Part-time

Posted 27 days ago

Job description

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Job Title: Lead Instructor: MLOps / AI Platform Engineering
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Location: Remote (Must work West Coast / Pacific Time hours)
Duration: 2 Weeks (Starting Mid-June)
Commitment: Roughly 30 hours per week
Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)
About the Engagement
General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.
As the Lead Instructor, you will be the face of lessons. You aren't just checking the math; you are bridge-building. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.
What You'll Do
  • Lead Live Instruction: Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
  • Simplify the Complex: Translate high-level MLOps concepts (CI/CD for ML, governance frameworks) into digestible insights for learners who are experienced professionals but not career engineers.
  • Facilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.
  • Mentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.
  • Drive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.
What You Bring
  • The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
  • The "Teacher" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. You should be comfortable "reading the room" in a virtual setting.
  • Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. You should be able to navigate these platforms in your sleep.
  • Technical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
  • The Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
  • The Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.
Note on Schedule: This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and be prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

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