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Remote E Learning Developer Jobs in Cary, NC (NOW HIRING)

DAN

Safety Services Specialist

Durham, NC · On-site +1

This position requires full-time, office based work and is not eligible for remote or hybrid ... Develop new and revise existing e-learning courses. * Administer current and new eLearning systems.

MasTec Industrial

Engineer, E&I

Raleigh, NC · On-site +1

$140K - $180K/yr

The position of E&I Engineer will provide technical direction to assigned design efforts pre-and ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

Contiem

Sr. Program Manager

Cary, NC · On-site +1

$108K - $109K/yr

... eLearning, online help, visualizations, training materials, etc. We continuously challenge the ... Bachelor's degree in Business, Engineering, or a related field of study from an accredited college ...

WalkMe

DevOps Engineer

Raleigh, NC · Remote

$54 - $74/hr

A proactive and self-motivated approach to learning and adopting new technologies. * Passion for ... We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential ...

Contiem

Project Quality Lead

Cary, NC · On-site +1

$115K - $125K/yr

... eLearning, online help, visualizations, training materials, etc. We continuously challenge the ... Annapolis, MD; remote will be considered.

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All JobsE Learning Developer JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Cary, NC

Remote E Learning Developer information

See Cary, NC salary details

$10.2K

$77.7K

$129.7K

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

As of Aug 6, 2026, the average yearly pay for remote e learning developer in Cary, NC is $77,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $128,800.00 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 are the most commonly searched types of E Learning Developer jobs in Cary, NC? The most popular types of E Learning Developer jobs in Cary, NC are:
What are popular job titles related to Remote E Learning Developer jobs in Cary, NC? For Remote E Learning Developer jobs in Cary, NC, the most frequently searched job titles are:
What job categories do people searching Remote E Learning Developer jobs in Cary, NC look for? The top searched job categories for Remote E Learning Developer jobs in Cary, NC are:
What cities near Cary, NC are hiring for Remote E Learning Developer jobs? Cities near Cary, NC 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 Cary, NC as of August 2026, with employment types broken down into 53% Full Time, 21% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,713 per year, or $37.4 per hour.

Senior MLOps Engineer- Remote[Candidates must work PST hours]

OMG Technologies

Raleigh, NC • On-site, Remote

$70/hr

Contractor

Posted 14 days ago

Job description

This opportunity is for a Senior MLOps Engineer role with one of our clients. Please find the job description below.
Position Overview :
Role: Sr MLOps Engineer
Location: Remote[ Candidates must work PST hours ]
Duration: 12+Months
Contract Role
Rate: $60/hr on W2 | $70/hr on C2C
Job Summary
The Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with cross-functional partners-including biostatisticians, bioinformatics scientists, AI scientists, and software engineers-to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle-from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying in-depth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable, and aligned with the company's mission to help eradicate cancer.
Essential Duties
Include, but are not limited to, the following:
  • Designs, implements, and maintains end-to-end MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.
  • Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and real-time inference workloads.
  • Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.
  • Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.
  • Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.
  • Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into production-grade services integrated into customer-facing and internal applications.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • Bachelor's Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.
  • 5 years of relevant job-related experience.
  • Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications
  • 2+ years of life sciences industry experience working with biological data.
  • 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
  • Scientific understanding of cancer biology
  • Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.

Other Job Details
  • Number of Openings: 2-3
  • Work Schedule: Must be available to work PST hours
  • Industry Experience: Not required; strong technical expertise is the primary focus
  • Interviews: Video interviews.
  • Docs required: ID proof will be required

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