1

Learning Development Assistant Jobs in Syracuse, NY

Professional Development: Ongoing training, tuition reimbursement, and career advancement paths ... Conduct high-quality, externally visible research in applied mathematics, machine learning, and ...

... learning environment! In this role, you will assist classroom teachers in implementing a daily ... The Child Development Associate (C.D.A) credential. A combination of at least 12 college credit ...

... learning environment! In this role, you will assist classroom teachers in implementing a daily ... The Child Development Associate (C.D.A) credential. A combination of at least 12 college credit ...

Showing results 41-60

Learning Development Assistant information

See Syracuse, NY salary details

$9

$21

$31

How much do learning development assistant jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for learning development assistant in Syracuse, NY is $21.57, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.75 per hour, depending on experience, location, and employer.

What is a learning development assistant?

Learning Development Assistants are professionals who support educators and students by facilitating learning activities, preparing educational materials, and assisting with classroom management. They often work alongside teachers to deliver lessons, provide one-on-one or small group support, and help adapt resources to meet diverse learning needs. Their role may also involve administrative tasks, monitoring student progress, and helping to create an inclusive learning environment. Learning Development Assistants play a key role in enhancing the educational experience for all students.

How does a learning development assistant typically collaborate with trainers and subject matter experts to create effective training materials?

As a Learning Development Assistant, you will frequently work alongside trainers and subject matter experts (SMEs) to develop, review, and refine educational materials. This collaboration often involves gathering content from SMEs, assisting with formatting and editing, and providing feedback to ensure materials are clear and engaging for learners. Regular meetings and open communication are essential to align on learning objectives and address any content gaps. Your organizational and interpersonal skills will be key to coordinating tasks, managing revisions, and ensuring all resources meet quality standards before training sessions.

What are the key skills and qualifications needed to thrive as a learning development assistant, and why are they important?

To thrive as a Learning Development Assistant, you need strong organizational skills, attention to detail, and a background in education or human resources, often supported by a relevant degree or certification. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and basic data analysis software is typically required. Excellent communication, teamwork, and problem-solving abilities help you effectively support trainers and engage learners. These skills are essential for ensuring smooth training operations, successful learning outcomes, and efficient program administration.

What is the difference between Learning Development Assistant vs Teaching Assistant?

AspectLearning Development AssistantTeaching Assistant
Required CredentialsRelevant certifications or training in learning development or education supportTypically a high school diploma or equivalent; some roles may require teaching assistant certification
Work EnvironmentEducational institutions, training centers, corporate learning departmentsClassrooms, schools, educational settings
Employer & Industry UsageUsed in schools, colleges, corporate training programsCommonly employed in primary and secondary schools
Search & Comparison IntentOften compared for roles supporting learning and development activitiesCompared when seeking classroom support roles

The Learning Development Assistant focuses on supporting the design and implementation of learning programs, often working behind the scenes to develop training materials. In contrast, the Teaching Assistant primarily assists teachers directly in classroom activities. While both roles support education, the Learning Development Assistant tends to work more on program development, whereas the Teaching Assistant is more classroom-focused.

What are the most commonly searched types of Learning Development jobs in Syracuse, NY?

The most popular types of Learning Development jobs in Syracuse, NY are:

What are popular job titles related to Learning Development Assistant jobs in Syracuse, NY?

For Learning Development Assistant jobs in Syracuse, NY, the most frequently searched job titles are:

What job categories do people searching Learning Development Assistant jobs in Syracuse, NY look for?

The top searched job categories for Learning Development Assistant jobs in Syracuse, NY are:

What cities near Syracuse, NY are hiring for Learning Development Assistant jobs?

Cities near Syracuse, NY with the most Learning Development Assistant job openings:

Infographic showing various Learning Development Assistant job openings in Syracuse, NY as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $44,865 per year, or $21.6 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.


SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.


NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.

PRINCIPAL ACCOUNTABILITIES:
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.

CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.

MINIMUM REQUIREMENTS:
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.

Compliance Salary Range Disclosure

Compensation Range: $135,000 - $150,000