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Gradient Learning Jobs in Connecticut (NOW HIRING)

Varsity Tutors

Adobe Illustrator Tutor

Stamford, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... gradient and pattern fills, artboard management, export settings, and print and digital production ...

Varsity Tutors

Adobe Illustrator Tutor

Bridgeport, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... gradient and pattern fills, artboard management, export settings, and print and digital production ...

Varsity Tutors

Adobe Illustrator Tutor

Norwalk, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... gradient and pattern fills, artboard management, export settings, and print and digital production ...

Varsity Tutors

Adobe Illustrator Tutor

Hartford, CT · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... gradient and pattern fills, artboard management, export settings, and print and digital production ...

All JobsGradient Learning JobsGradient Learning Jobs in Connecticut

Gradient Learning information

See Connecticut salary details

$9

$42

$91

How much do gradient learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for gradient learning in Connecticut is $42.57, according to ZipRecruiter salary data. Most workers in this role earn between $21.95 and $58.86 per hour, depending on experience, location, and employer.

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

To thrive as a Gradient Learning specialist, you need expertise in instructional design, educational technology integration, and a background in teaching or curriculum development, often supported by a relevant degree. Familiarity with learning management systems (LMS), digital assessment tools, and platforms like Google Classroom is common in this role. Strong communication, collaboration, and problem-solving skills are essential for engaging educators and supporting student-centered learning. These skills ensure the effective implementation of personalized learning strategies and foster successful educational outcomes.

How does a professional in Gradient Learning typically collaborate with educators and technology teams to implement personalized learning solutions?

Professionals working in Gradient Learning roles often serve as a bridge between educators and technology teams, ensuring that personalized learning platforms are effectively integrated into classroom environments. They collaborate with teachers to understand classroom needs, provide training, and gather feedback to refine digital tools. Simultaneously, they work closely with developers and product managers to relay user insights and help prioritize features that enhance student learning experiences. This cross-functional collaboration is essential for creating solutions that are both pedagogically sound and technically robust.

What is Gradient Learning?

Gradient Learning is an education-focused nonprofit organization that partners with schools and educators to develop innovative teaching tools and learning models. Their mission is to support student-centered education by providing resources such as curriculum content, professional development, and technology platforms. Gradient Learning is known for initiatives like the Summit Learning program, which emphasizes personalized learning, project-based instruction, and strong teacher-student relationships. They collaborate with schools to improve educational outcomes and empower teachers to tailor learning experiences to individual student needs.
What are popular job titles related to Gradient Learning jobs in Connecticut? For Gradient Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Gradient Learning jobs in Connecticut look for? The top searched job categories for Gradient Learning jobs in Connecticut are:
Gradient Learning jobs near you
Infographic showing various Gradient Learning job openings in Connecticut as of July 2026, with employment types broken down into 2% Locum Tenens, 26% Full Time, 8% Part Time, 61% Temporary, 1% Contract, and 2% Summer. Highlights an 40% Physical, 1% Hybrid, and 59% Remote job distribution, with an average salary of $88,546 per year, or $42.6 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 3 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.

Apply