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E Learning Jobs in Connecticut (NOW HIRING)

Ametek

Training and Methods Engineer

Middlefield, CT

Design blended learning solutions (e-learning, instructor-led, job aids, simulations) * Develop training materials including manuals, videos, quick-reference guides, and simulations * Align training ...

AmeriTech Contracting LLC

Training Associate

Meriden, CT · On-site

$20 - $30/hr

Preferred-not required Experience with an LMS such as Litmos and/or e-learning authoring tools such as Articulate 360. Experience creating screen recordings, basic video content, visual job aids ...

V2X

Instructional Systems Designer

Hartford, CT · On-site

Design and develop content across multiple development media such as eLearning, instructor-led, and virtual classroom * Manage relationships with customers and subject matter experts, including ...

AmeriTech Contracting LLC

Training Associate

Meriden, CT · On-site

$20 - $30/hr

Preferred-not required • Experience with an LMS such as Litmos and/or e-learning authoring tools such as Articulate 360. • Experience creating screen recordings, basic video content, visual job ...

AmeriTech Contracting LLC

Training Associate

Meriden, CT · On-site

$20 - $30/hr

Preferred--not required · Experience with an LMS such as Litmos and/or e-learning authoring tools such as Articulate 360. · Experience creating screen recordings, basic video content, visual job ...

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Showing results 21-40

All JobsE Learning JobsE Learning Jobs in Connecticut

E Learning information

See Connecticut salary details

$8

$21

$38

How much do e learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for e learning in Connecticut is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $26.30 per hour, depending on experience, location, and employer.

What are the common challenges faced by e-learning professionals when developing online courses, and how can they be addressed?

E-Learning professionals often encounter challenges such as engaging diverse learners, ensuring accessibility, and keeping up with rapidly changing technology. To address these issues, it’s important to use interactive multimedia, provide clear navigation, and implement universal design principles. Collaboration with subject matter experts and regular feedback from learners can also help refine course content and delivery, resulting in a more effective and inclusive learning experience.

What is the difference between E Learning vs Instructional Designer?

AspectE LearningInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications in e-learning toolsRequires a degree in education, instructional design, or related field; often holds certifications in instructional design or authoring tools
Work EnvironmentCreates online courses, often working remotely or in educational/corporate settingsDesigns learning experiences, collaborates with subject matter experts, often in educational or corporate environments
Industry UsageUsed across education, corporate training, and e-learning platformsPrimarily in education, corporate training, and e-learning development

While both roles focus on learning and education, E Learning primarily involves creating online courses and content, whereas Instructional Designers develop comprehensive learning experiences and curricula. E Learning professionals often focus on content delivery, while Instructional Designers emphasize instructional strategies and design principles.

What are the key skills and qualifications needed to thrive as an e-learning specialist, and why are they important?

To thrive as an E-Learning Specialist, you need expertise in instructional design, curriculum development, and adult learning theories, often backed by a degree in education or instructional technology. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications are typically required. Creativity, strong communication, and project management skills set top performers apart in this field. These skills ensure engaging, effective online learning experiences and successful project delivery in diverse educational or corporate environments.

What is e-learning?

E-Learning, or electronic learning, refers to the use of digital resources and technology to deliver educational content outside of a traditional classroom setting. It can include online courses, virtual classrooms, webinars, and self-paced learning modules accessed via computers, tablets, or smartphones. E-Learning offers flexibility for learners to study at their own pace and often includes interactive elements, assessments, and multimedia resources. It is widely used in schools, universities, and corporate training environments to enhance accessibility and improve learning outcomes.

What are the most commonly searched types of E Learning jobs in Connecticut?

The most popular types of E Learning jobs in Connecticut are:

What are popular job titles related to E Learning jobs in Connecticut?

For E Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching E Learning jobs in Connecticut look for?

The top searched job categories for E Learning jobs in Connecticut are:

E Learning jobs near you
Infographic showing various E Learning job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $44,448 per year, or $21.4 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 27 days ago

Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

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