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Day Program Instructor Jobs in Pittsburgh, PA (NOW HIRING)

Mad Science

After School Instructor

Cheswick, PA · On-site

$45/hr

Instructors can choose to work anywhere between 1-4 days a week, depending on your schedule and available work. After school programs can last anywhere between 4-8 weeks. Pay is $45/session, training ...

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How much do day program instructor jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for day program instructor in Pittsburgh, PA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $25.67 per hour, depending on experience, location, and employer.

What is a day program instructor?

Day Program Instructors are professionals who work with individuals, often those with developmental disabilities or special needs, in structured daytime programs. They plan and facilitate activities that promote skill development, socialization, and independence. Their responsibilities may include teaching daily living skills, supporting community integration, and ensuring participants' safety and well-being. Day Program Instructors also collaborate with other staff and families to create individualized plans and track progress.

What are the key skills and qualifications needed to thrive as a day program instructor?

To thrive as a Day Program Instructor, you need experience in education or human services, knowledge of developmental disabilities, and usually a high school diploma or higher. Familiarity with individualized service plans (ISPs), documentation software, and basic assistive technology is often required. Patience, creativity, and strong interpersonal skills help instructors effectively engage participants and build positive relationships. These abilities ensure safe, supportive, and enriching environments that promote participant growth and well-being.

What are some common challenges faced by day program instructors, and how can they be managed?

Day Program Instructors often work with individuals who have varying needs and abilities, which can present challenges in adapting activities and communication styles. Managing group dynamics, ensuring participant engagement, and handling unexpected behavioral issues are typical aspects of the role. Successful instructors rely on patience, strong interpersonal skills, and collaboration with colleagues and support staff to create a positive and inclusive environment. Ongoing training and support from the organization can also help instructors effectively address these challenges and foster participant growth.
What cities near Pittsburgh, PA are hiring for Day Program Instructor jobs? Cities near Pittsburgh, PA with the most Day Program Instructor job openings:
Day Program Instructor jobs near you

Adjunct Instructor: Applications of NL(X) and LLM

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 16 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 616 rated colleges and universities

Job description

Description
Adjunct Instructor: Applications of NL(X) and LLM
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University seeks an adjunct instructor for Applications of NL(X) and LLM this fall semester. We invite professionals with deep experience and demonstrated leadership in the field to apply. This course is designed to provide graduate-level students with a comprehensive understanding of NL(X) and LLMs, focusing on their applications, evaluation, and operationalization across many industries. Beginning with the fundamentals of NL(X), the course covers its history, evolution, and critical applications, offering students hands-on experience with essential tools such as text mining, sentiment analysis, and embeddings.
As students' progress, they will delve into advanced architectures, including RNNs, LSTMs, and Transformers, learning how these models drive key applications like machine translation and named entity recognition (NER). The course places significant emphasis on Large Language Models, such as GPT and BERT, guiding students through the intricacies of training, fine-tuning, and deploying these models. Advanced topics like Retrieval-Augmented Generation (RAG) and agentic architectures will also be explored, highlighting how LLM-based agents are transforming tasks that require complex reasoning, planning, and execution.
The course is an elective for students across Heinz College programs. Students are expected to have some background in artificial intelligence, and be able to program in Python at a basic level for assignments.
This is a mini (7 week long) course in the fall 2026 semester, which begins on Monday, August 24, 2026 and the last day of mini 1 classes is scheduled for Friday, October 9, 2026. The course will meet in-person twice weekly for 80 minutes, on Tuesdays and Thursdays at 5:00pm - 6:20pm. This course also offers an optional Friday recitation during the 7 week course, which meets 2:00pm - 3:20pm.
The course design should at minimum include relevant readings (textbook, research papers, news articles, etc.), in-class discussions, and appropriate evaluations of mastery of concepts for grading purposes (homework, quizzes/exams, etc.). Given the focus of Heinz College graduate programs, utilization of data, strategic thinking, and application of leadership skills are highly encouraged to be integrated into the course.
About Heinz College
The Heinz College of Information Systems and Public Policy is home to two internationally recognized schools: the School of Information Systems and Management and the School of Public Policy and Management. The unique colocation of these two schools sets Heinz College apart to tackle society's most complex problems by teaching our students a firm understanding of policy, technology and analytical foundations, and the management skills to deploy solutions for maximum impact - the intersection of people, policy, and technology to approach complex problems. For more information, please visit www.heinz.cmu.edu.
Qualifications
The instructor should be a practitioner with direct experience in the field and should utilize data-driven analysis and methodology in their teaching. Recent experience in teaching is preferred.
Equal Employment Opportunity Statement
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

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