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Learning Developer Jobs in Ohio (NOW HIRING)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and datasets primarily focused on remote sensing (SAR/RF, acoustic, EO/IR, and LIDAR) applications. You will ...

Machine Learning Engineer

Beavercreek, OH · On-site

$87.10K - $157.45K/yr

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and datasets primarily focused on remote sensing (SAR/RF, acoustic, EO/IR, and LIDAR) applications. You will ...

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Machine Learning Engineer II

Columbus, OH

$94.20K - $128.90K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

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Showing results 1-20

Learning Developer information

See Ohio salary details

$10.5K

$79.8K

$133.1K

How much do learning developer jobs pay per year?

As of May 30, 2026, the average yearly pay for learning developer in Ohio is $79,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $132,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Learning Developer, and why are they important?

To thrive as a Learning Developer, you need expertise in instructional design, adult learning theories, and curriculum development, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), Learning Management Systems (LMS), and sometimes relevant certifications (e.g., CPLP, APTD) is typically required. Strong project management, creativity, and communication skills help you design engaging and effective learning experiences for diverse audiences. These competencies ensure that training solutions are impactful, user-friendly, and aligned with organizational goals.

How does a Learning Developer typically collaborate with subject matter experts to create effective training materials?

A Learning Developer works closely with subject matter experts (SMEs) to ensure that training content is accurate, engaging, and tailored to the audience's needs. This collaboration often involves conducting interviews, reviewing existing materials, and participating in feedback sessions to clarify complex concepts. Regular meetings and iterative content reviews are common, allowing the Learning Developer to translate expert knowledge into accessible and interactive learning experiences. Strong communication and project management skills are essential for managing timelines and aligning expectations between all stakeholders.

What are Learning Developers?

Learning Developers are professionals who design, develop, and enhance educational materials and experiences, often using technology to support learning. They collaborate with subject matter experts to create engaging online courses, instructional resources, and training programs. Learning Developers use instructional design principles to ensure that learning objectives are met and that materials are accessible and effective for diverse learners. Their work is essential in educational institutions, corporate training, and e-learning industries.

What is the difference between Learning Developer vs Instructional Designer?

AspectLearning DeveloperInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds degrees in education, instructional design, or related certifications
Work EnvironmentCreates digital learning content, e-learning modules, and multimedia resources, often in corporate or educational settingsDesigns curriculum, develops instructional materials, and plans learning strategies, mainly in educational or corporate sectors
Employer & Industry UsageUsed by corporations, e-learning companies, and educational institutions to develop online trainingEmployed by educational institutions, corporations, and consulting firms to design learning experiences

Learning Developers focus on creating and developing digital learning content and multimedia resources, while Instructional Designers primarily design and plan overall learning strategies and curricula. Both roles require similar credentials and are used across educational and corporate sectors, but their core responsibilities differ in content creation versus instructional planning.

What are popular job titles related to Learning Developer jobs in Ohio? For Learning Developer jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Learning Developer job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $79,750 per year, or $38.3 per hour.

$28 - $45/hr

Other

Posted 11 days ago


Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome


Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.


Key Responsibilities
  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows


Required Qualifications
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms


Technical Skills (ATS Keywords)Programming Languages
  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks
  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data
  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)
  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps
  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts
  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum


Preferred Qualifications
  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities


Compensation & Benefits
  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support


Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.