ZipRecruiter

Log In

2

Remote E Learning Developer Jobs in Princeton, NJ

Onramp Lab

Developer

New York, NY · Remote

Experience with web frameworks and technologies (e.g., React, Node.js, Django) * Familiarity with ... Ability to work effectively in a remote team environment * Good communication skills to collaborate ...

previous page

Showing results 41-60

All JobsE Learning Developer JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Princeton, NJ

Remote E Learning Developer information

See Princeton, NJ salary details

$11.5K

$87.9K

$146.8K

How much do remote e learning developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote e learning developer in Princeton, NJ is $87,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a remote e learning developer?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What are some typical daily responsibilities for a remote e learning developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What are the key skills and qualifications needed to thrive in the remote e learning developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

What are popular job titles related to Remote E Learning Developer jobs in Princeton, NJ?

For Remote E Learning Developer jobs in Princeton, NJ, the most frequently searched job titles are:

What cities near Princeton, NJ are hiring for Remote E Learning Developer jobs?

Cities near Princeton, NJ with the most Remote E Learning Developer job openings:

Remote E Learning Developer jobs near you
Infographic showing various Remote E Learning Developer job openings in Princeton, NJ as of August 2026, with employment types broken down into 79% Full Time, 11% Part Time, 2% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,934 per year, or $42.3 per hour.

Software Engineer Leadership, Machine Learning RecSys

Meta

New York, NY • On-site, Remote

$219K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences.

  • Develop reusable software components and analyze code for quality, efficiency, and performance.

  • Lead complex technical or product efforts and provide technical guidance to peers.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer Leadership, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhD
  • 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience leading major initiatives successfully, Proven ability to set technical direction and influence product strategy
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Experience building and shipping high quality work and achieving high reliability
  • Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
  • Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TF
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply