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Remote E Learning Developer Jobs in Columbus, OH

Senior Machine Learning Engineer

Columbus, OH · On-site +1

$100K - $138K/yr

We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding ... Experience with simulation environments (e.g., MuJoCo, Isaac Gym). * Solid understanding of ...

... fully remote. You should minimally meet the knowledge, skills, and abilities listed below ... e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

Remote (US-Based) Apply today to join the 1/5/26 certification class and lock in your spot for tax ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

Fully REMOTE positions are available for qualified candidates.Relocation assistance will be ... e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

Fully REMOTE positions are available for qualified candidates.Relocation assistance will be ... e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse ...

Guidewire Developer-ClaimCenter

Columbus, OH · On-site +1

$52.75 - $69.50/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... Version control systems (e.g. Git) * RESTful APIs and microservices * AI Prompt/Agentic Engineering

Lead Actimize Developer

Columbus, OH · Remote

$130K - $150K/yr

Remote Salary: $130,000-$150,000/Annually. Role: Lead Actimize Developer Primary Skills: Actimize ... learning and technical growth. - Remain proactive in learning new technologies (2-3 per year ...

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Showing results 1-20

Remote E Learning Developer information

See Columbus, OH salary details

$10.6K

$81K

$135.2K

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

As of Jul 27, 2026, the average yearly pay for remote e learning developer in Columbus, OH is $81,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $134,300.00 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 job?

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 Columbus, OH? The most popular types of E Learning Developer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote E Learning Developer jobs? Cities near Columbus, OH with the most Remote E Learning Developer job openings:
Infographic showing various Remote E Learning Developer job openings in Columbus, OH as of July 2026, with employment types broken down into 70% Full Time, 17% Part Time, and 13% Contract. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $81,025 per year, or $39 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Path Robotics

Columbus, OH • On-site, Remote

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.
We are hiring two Senior Machine Learning Engineers with complementary specializations:
  • Senior Machine Learning Engineer, World Models
  • Senior Machine Learning Engineer, Reinforcement Learning
Senior ML Engineer, World Models
What You'll Do
  • Build action-conditioned world models that predict how the welding process evolves under changes to robot motion and process parameters.
  • Model relationships among inputs, system state, physical dynamics, and resulting weld quality.
  • Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters.
  • Explore latent dynamics, video prediction, generative modeling, and spatiotemporal representations.
  • Improve long-horizon rollout accuracy, physical plausibility, temporal consistency, and computational efficiency.
  • Quantify model uncertainty and identify conditions under which predictions are unreliable.
  • Validate learned predictions against real-world welding data.
  • Integrate the model into RL, planning, process-optimization, evaluation, and synthetic-data workflows.
  • Prevent downstream optimization systems from exploiting inaccuracies in the learned model.
  • Translate promising research into scalable training and inference systems.
Senior ML Engineer, Reinforcement Learning
What You'll Do
  • Develop reinforcement learning approaches for optimizing welding decisions and process outcomes.
  • Define state, observation, action, and reward representations based on measurable manufacturing objectives.
  • Train and evaluate policies using learned world models, traditional simulation, offline datasets, and controlled real-world experiments.
  • Develop offline, model-based, or constrained RL methods suitable for limited and expensive physical interaction.
  • Optimize across competing objectives such as weld quality, cycle time, reliability, energy use, and equipment constraints.
  • Design methods that account for uncertainty, distribution shift, delayed outcomes, and sparse or imperfect reward signals.
  • Diagnose reward exploitation, unsafe behavior, policy instability, and model exploitation.
  • Establish reliable offline and real-world policy evaluation methods.
  • Partner with controls, welding, robotics, world-model, data, and ML infrastructure engineers.
  • Translate research prototypes into dependable training, evaluation, and deployment systems.
Who You Are
  • Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
  • Experience developing and deploying reinforcement learning algorithms on real-world systems.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
  • Solid understanding of probability, statistics, and optimization.
  • Experience with training and deploying ML models in production systems.
Why You'll Love It Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.