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Learning Assistant Jobs in Norwalk, CT (NOW HIRING)

Campus Services Group

HVAC Technician

Greenwich, CT · On-site

Provide logistical support for campus activities and maintain a safe, clean, and conducive environment for learning. * Assist with fire drills, lockdowns, and other safety exercises. * Assist in ...

SEO

Online Learning Specialist

New York, NY · On-site

$58/hr

Assistant Director of Online Learning Compensation: $58/hr FLSA: Non-Exempt Location: New York, NY Employee Type: Part-time, Temporary through August 31, 2027 Work Arrangement: Hybrid - 1-2 days/week ...

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All JobsLearning JobsLearning Assistant JobsLearning Assistant Jobs in Norwalk, CT

Learning Assistant information

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$5

$14

$25

How much do learning assistant jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for learning assistant in Norwalk, CT is $14.35, according to ZipRecruiter salary data. Most workers in this role earn between $11.65 and $15.45 per hour, depending on experience, location, and employer.

What are Learning Assistants?

Learning Assistants are individuals who support students and instructors in educational settings, often in classrooms or labs. They help facilitate group activities, answer student questions, and provide additional guidance to enhance learning. Learning Assistants are typically undergraduate students trained to use active learning techniques to improve student engagement and understanding. Their role is to create a positive and supportive learning environment, working alongside faculty to help students succeed.

What jobs pay 4000 a week without a degree?

A Learning Assistant typically does not earn $4,000 a week without a degree, as this role often requires educational credentials or related experience. High-paying jobs that can reach this level without a degree include certain sales positions, real estate agents, or specialized trades like commercial diving or certain tech certifications, but these often require specific skills, licenses, or experience. Most roles paying this much without a degree are in sales, entrepreneurship, or skilled trades with commission or performance-based pay structures.

What is the difference between Learning Assistant vs Teaching Assistant?

AspectLearning AssistantTeaching Assistant
Required CredentialsOften undergraduate or graduate students, sometimes with specific trainingVaries; may include certifications or student status
Work EnvironmentAcademic settings, supporting active learning in classroomsClassrooms, labs, or online, assisting teachers or professors
Employer & IndustryEducational institutions, primarily colleges and universitiesSchools, colleges, universities, and training programs
Common Search & ComparisonLearning Assistant vs Teaching Assistant

Learning Assistants typically support active learning in higher education settings, often as students themselves, focusing on peer support and engagement. Teaching Assistants may have more formal instructional duties, including grading and classroom management. While both roles assist in educational environments, Learning Assistants emphasize peer-led support, whereas Teaching Assistants often work directly under faculty supervision to facilitate instruction.

How do Learning Assistants typically collaborate with teachers and students in the classroom?

Learning Assistants work closely with teachers to support lesson delivery, often helping to facilitate group activities, provide one-on-one assistance to students, and manage classroom dynamics. They play a key role in reinforcing concepts presented by the teacher, answering student questions, and identifying individuals who may need additional help. Collaboration also involves regular communication with the teaching staff to discuss student progress and adjust instructional strategies as needed. This teamwork ensures a supportive and effective learning environment for all students.

How much do learning assistants get paid?

Learning assistants typically earn between $10 and $20 per hour, depending on the institution, location, and their experience. Compensation may also include stipends or academic credit, and some roles require training in specific tools or subject areas.

What qualifications do you need to be a learning assistant?

To become a learning assistant, candidates typically need to have a high school diploma or equivalent and demonstrate strong communication and organizational skills. Some positions may require relevant coursework, prior experience working with students, or familiarity with educational tools and technology.

What is a learning assistant?

A learning assistant is a student or professional who supports the teaching process by helping facilitate learning, often in educational settings such as colleges or universities. They may assist with tutoring, classroom activities, or providing peer support, and typically require strong communication skills and subject knowledge. The role often involves working under the supervision of instructors and may include training or certification in educational techniques.

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

To thrive as a Learning Assistant, you generally need a solid understanding of educational principles, subject matter expertise, and at least a high school diploma or equivalent, with some positions requiring postsecondary education. Familiarity with classroom technology, learning management systems (LMS), and digital collaboration tools is often important. Exceptional communication, patience, and the ability to motivate and support students are critical soft skills. These competencies ensure effective support of teachers and students, fostering an inclusive and productive learning environment.
What cities near Norwalk, CT are hiring for Learning Assistant jobs? Cities near Norwalk, CT with the most Learning Assistant job openings:
Learning Assistant jobs near you
Machine Learning, Assistant Vice President

Machine Learning, Assistant Vice President

Morgan Stanley

New York, NY

$85K - $140K/yr

Full-time

Posted 2 days ago

Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz

38th of 150 rated financial services

Job description

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
The Machine Learning team in the Wealth Management (WM) Strategy & Analytics division at Morgan Stanley works on a breadth of applied AI research areas including but not limited to recommender systems, client personalization, graphical neural networks (GNNs), and natural language understanding/LLMs. We provide machine learning (ML) solutions to our internal stakeholders across all our clients channels (Advisor-led, Workplace, and Self-directed) and Product organizations (Investment Solutions, Bank) as well as functions (Marketing, Risk). Our ML scientists ideate, innovate, design, prototype, and ship ML solutions delivering delightful new experiences to 20M+ WM clients.
Responsibilities
  • Design and develop end-2-end machine learning solutions to address business opportunities in Wealth Management, delivering tangible business outcomes.
  • Strive to develop and experiment with State-of-the-Art algorithms.
  • Validate the machine learning models in collaboration with the validation team to ensure the accuracy and reliability of ML models.
  • Deploy the machine learning models in production environments, in collaboration with the MLOps team, and monitor their performance.
  • Conduct A/B tests to demonstrate efficacy of ML solutions.
  • Participate in code reviews from both sides of the process.
  • Build, grow, and establish partnerships with business stakeholders, marketing as well as with our Risk, Legal, and Compliance divisions.
  • Create presentations to effectively showcase modelling results to stakeholders and the team.
Qualifications
  • Master's or a PhD degree (preferred) in Computer Science, Engineering, Mathematics, Physics, or an equivalent quantitative field. At least 3 years of professional experience in Machine Learning.
  • Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regression, recommender systems, clustering, deep learning
  • Proficiency in autonomously conducting applied ML research with commercial applications.
  • Proficiency in at least one of the modern programming languages (Python, C++, or a related language).
  • Experience with code versioning systems such as Github, Bitbucket, and experiment tracking systems like MLFLow.
  • Proficiency with computer science fundamentals in object-oriented design, data structures, and algorithmic design.
  • Experience communicating with business stakeholders.
  • Proficiency in English.
Preferred
  • Experience with Cloud or Big Data technologies such as Azure, AWS, Google Coud, Hadoop, or an equivalent
  • Familiarity with Deep Learning frameworks (PyTorch, Tensorflow, PyTorch - Geometric, or equivalent).
  • Experience with Graphical Neural Networks, Reinforcement Learning, LLMs, Transformer based Models, or Recommender Systems is a plus.
  • Track record of publishing in peer-reviewed scientific journals

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $85,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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