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World Learning Jobs in Ohio (NOW HIRING)

Educational Solutions Company

3rd Grade Teacher

Columbus, OH · On-site

$43K - $55K/yr

We "Make a World of Difference" in K-12 students academics through real world learning and career exploration. Qualifications of a Teacher: The ideal candidate will be eligible for licensure through ...

Educational Solutions Company

TESOL Teacher

Columbus, OH · On-site

$41K - $55K/yr

We "Make a World of Difference" in K-12 students academics through real world learning and career exploration. Qualifications of a Teacher: The ideal candidate will be eligible for licensure through ...

Educational Solutions Company

TESOL Teacher

Columbus, OH · On-site

$43K - $57K/yr

We "Make a World of Difference" in K-12 students academics through real world learning and career exploration. Qualifications of a Teacher: The ideal candidate will be eligible for licensure through ...

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All JobsWorld Learning JobsWorld Learning Jobs in Ohio

World Learning information

See Ohio salary details

$25

$38

$66

How much do world learning jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for world learning in Ohio is $38.69, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $50.29 per hour, depending on experience, location, and employer.

What is the difference between World Learning vs Education Coordinator?

AspectWorld LearningEducation Coordinator
Required CredentialsBachelor's degree, experience in international education or developmentBachelor's degree, experience in education program management
Work EnvironmentNonprofit organizations, international settings, educational programsSchools, educational institutions, nonprofit organizations
Employer & IndustryGlobal NGOs, educational nonprofitsSchools, educational agencies, nonprofits
Common Search & ComparisonWorld Learning vs Education Coordinator

While both roles involve educational program management, World Learning typically focuses on international development and global education initiatives within nonprofit organizations. Education Coordinators often work within local schools or educational institutions, managing programs and curricula. Understanding these differences helps job seekers identify roles aligned with their experience and career goals.

What are popular job titles related to World Learning jobs in Ohio?

For World Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching World Learning jobs in Ohio look for?

The top searched job categories for World Learning jobs in Ohio are:

What cities in Ohio are hiring for World Learning jobs?

Cities in Ohio with the most World Learning job openings:

World Learning jobs near you
Infographic showing various World Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $80,475 per year, or $38.7 per hour.

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Columbus, OH • On-site, Remote

Path Robotics
Industrial Automation Equipment Manufacturing • 201 - 500 employees
Learn more about Path Roboticsexternal

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 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.

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