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Learning Associate Jobs in Virginia (NOW HIRING)

The individual will have the opportunity to coach, mentor and manage junior associates on the team. General Responsibilities: * Lead the design and execution of learning solutions aligned to the ...

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Learning Associate information

See Virginia salary details

$10

$19

$32

How much do learning associate jobs pay per hour?

As of May 31, 2026, the average hourly pay for learning associate in Virginia is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $20.48 per hour, depending on experience, location, and employer.

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

To thrive as a Learning Associate, you need foundational knowledge in instructional design, training facilitation, and adult learning principles, typically supported by a bachelor’s degree in education, HR, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools like Articulate or Captivate, and virtual collaboration platforms is commonly required. Strong organizational skills, effective communication, and a proactive attitude help Learning Associates excel in supporting learners and adapting to diverse training needs. These competencies ensure effective training delivery, learner engagement, and smooth coordination within learning and development teams.

What are some typical responsibilities of a Learning Associate, and how do they contribute to the overall success of training programs?

As a Learning Associate, your typical responsibilities may include assisting with the development and delivery of training materials, coordinating logistics for training sessions, supporting learners during workshops, and collecting feedback to improve future sessions. You often collaborate closely with instructional designers, trainers, and subject matter experts to ensure learning objectives are met. By managing these operational and support tasks efficiently, you play a vital role in ensuring training programs run smoothly and effectively, directly contributing to employee development and organizational growth.

What are Learning Associates?

Learning Associates are professionals who support the educational process by assisting instructors, facilitating student learning, and providing administrative and instructional support in academic or training settings. They often help create educational materials, organize classroom activities, and offer guidance to learners. Learning Associates may work in schools, colleges, universities, or corporate training departments, helping to ensure a positive and effective learning environment.

What is the difference between Learning Associate vs Learning Coordinator?

AspectLearning AssociateLearning Coordinator
Required CredentialsTypically a bachelor's degree in education, training, or related fieldSimilar educational background, often with additional certifications in training or HR
Work EnvironmentEducational institutions, corporate training departments, nonprofitsCorporate training teams, educational organizations, nonprofits
Employer & Industry UsageUsed in schools, universities, corporate training programsCommon in HR departments, corporate learning and development teams
Search & Comparison IntentPeople comparing entry-level training rolesIndividuals exploring roles with more coordination responsibilities

While both roles focus on learning and training, Learning Associates typically assist in delivering training programs, whereas Learning Coordinators handle planning, scheduling, and logistics of training initiatives. The roles often overlap but differ mainly in scope and responsibilities.

What are the most commonly searched types of Learning jobs in Virginia? The most popular types of Learning jobs in Virginia are:
What cities in Virginia are hiring for Learning Associate jobs? Cities in Virginia with the most Learning Associate job openings:

Associate Machine Learning Engineer - Secure AI Lab

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

Full-time

Posted 22 days ago


Job description

Job Summary:
Carnegie Mellon University’s Software Engineering Institute is conducting cutting-edge research in applied artificial intelligence and engineering solutions for AI technologies. The Associate Machine Learning Engineer will focus on improving the security and robustness of AI systems, while collaborating with a team to solve practical engineering problems for government clients.
Responsibilities:
• Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
• Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
• Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.
• Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.
• Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
Qualifications:
Required:
• A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline.
• Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
• You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.
• Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
• Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required.
• A track record of using well-established engineering practices to solve difficult problems.
• An understanding of how to convert research results into functioning prototypes or capabilities.
• Experience leading technical projects in novel areas with limited previous work to build upon.
• Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms.
• Ample experience with publishing written or technical artifacts showcasing your work.
• Strong collaboration skills for working with colleagues and sponsors.
• Willingness to guide and mentor junior team members.
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.