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Remote E Learning Developer Jobs in Oceanside, NY

Canals

Machine Learning Engineer

New York, NY · Remote

Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

VIATechnik

VDC Manager

Manhattan, NY · Remote

$95K - $115K/yr

This is a remote role within the United States. US work authorization is required. About VIATechnik ... Our team is a quickly growing group of committed architects, engineers, tradespersons, researchers ...

VIATechnik

VDC Manager

Manhattan, NY · Remote

$95K - $115K/yr

This is a remote role within the United States. US work authorization is required. About VIATechnik ... Our team is a quickly growing group of committed architects, engineers, tradespersons, researchers ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... e.g., FHIR, HL7). * Familiarity with machine learning concepts and LLM fine-tuning processes ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

NextDeavor Inc.

Sales Training Manager

Manhattan, NY · Remote

$120K - $140K/yr

Sales Training Manager Full Time Role Remote (EST Hours) Here's how you'll become a key player with ... Develop engaging content across formats--presentations, manuals, e-learning, and workshops

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... e.g., FHIR, HL7). * Familiarity with machine learning concepts and LLM fine-tuning processes ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Autodesk

Senior Machine Learning Test Engineer

New York, NY · On-site +1

$120K - $157K/yr

You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Akur8

Partnerships Manager

New York, NY · Remote

$150K - $180K/yr

... learning, Akur8 brings speed, reliability, and clarity to critical insurance decisions -- developed by multidisciplinary teams in product, engineering, and actuarial expertise. Recognized globally ...

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Showing results 21-40

All JobsE Learning Developer JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Oceanside, NY

Remote E Learning Developer information

See Oceanside, NY salary details

$11.4K

$86.6K

$144.5K

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

As of Aug 9, 2026, the average yearly pay for remote e learning developer in Oceanside, NY is $86,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $143,400.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Remote E Learning Developer jobs in Oceanside, NY look for? The top searched job categories for Remote E Learning Developer jobs in Oceanside, NY are:
What cities near Oceanside, NY are hiring for Remote E Learning Developer jobs? Cities near Oceanside, NY 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 Oceanside, NY as of July 2026, with employment types broken down into 56% Full Time, 25% Part Time, 5% Temporary, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,563 per year, or $41.6 per hour.

Machine Learning Engineer

Canals

New York, NY • Remote

Full-time

Re-posted 29 days ago

Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do

  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring

  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.