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Part Time Python Jobs in Venetia, PA (NOW HIRING)

PNC

Software Developer Associate

Pittsburgh, PA · On-site

$69K - $108K/yr

Requirements: • Basic programming experience in one or more languages such as Java, Python, C# ... To learn more about these and other programs, including benefits for full time and part-time ...

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Part Time Python information

See Venetia, PA salary details

$12

$57

$84

How much do part time python jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for part time python in Venetia, PA is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What is a part time Python job?

A Part Time Python job involves working on Python-based tasks or projects for a limited number of hours per week, rather than full-time employment. These roles can include web development, data analysis, automation, scripting, or machine learning. Part-time Python jobs are ideal for students, freelancers, or professionals looking to supplement their income while maintaining flexibility. Opportunities can be found in various industries, including tech, finance, and healthcare.

What does a typical work schedule look like for a part time Python developer and how flexible is the role?

Part Time Python developer roles are often designed with flexibility in mind, accommodating students, freelancers, or professionals seeking supplementary income. Work hours can range from a few hours per day to certain days of the week, and many positions offer remote or hybrid options. While some employers may set core hours for team meetings or project check-ins, the bulk of the coding work can usually be completed on your own schedule. This flexibility allows you to balance other commitments while gaining valuable industry experience and building your programming portfolio.

What are the key skills and qualifications needed to thrive in the part time Python position, and why are they important?

To thrive as a Part Time Python developer, you should have a solid understanding of Python programming, experience with relevant frameworks (such as Django or Flask), and a background in software development or computer science. Familiarity with code versioning tools like Git, cloud platforms, and databases, as well as participation in coding bootcamps or holding certifications (like Python Institute PCEP/PCAP), is often beneficial. Strong problem-solving skills, effective communication, and the ability to work independently or remotely are key soft skills for part-time positions. These abilities ensure you can contribute effectively within limited hours, collaborate with diverse teams, and consistently deliver high-quality code.

What cities near Venetia, PA are hiring for Part Time Python jobs?

Cities near Venetia, PA with the most Part Time Python job openings:

Part Time Python jobs near you
Infographic showing various Part Time Python job openings in Venetia, PA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $119,384 per year, or $57.4 per hour.

Instructional Staff - AI Engineer

Pittsburgh, PA • On-site

Carnegie Mellon University
Colleges, Universities, and Professional Schools • 1 - 10 employees

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

69th of 623 rated colleges and universities

Great coworkers

People enjoy working here

Good employer

Learn more about Carnegie Mellon Universityexternal

Full-time, Part-time

Posted 17 days ago

Job description

Description
Position Title: Instructional Staff - AI Engineer
Location: Heinz College, Carnegie Mellon University
Start Date: August 24, 2026 (Fall Semester)
Position Type: Part-Time, Temporary
Reports To: Faculty Supervisor(s)
Student-Facing: Yes
Position Summary
Heinz College at Carnegie Mellon University is seeking a graduate of the Master of Artificial Intelligence Systems Management (AIM) or an AI-related CMU program to assist in creating AI systems or workflows for assignments originally designed for Python developers into equivalent assignments for AI systems or LLM agent workflows. This role supports curriculum development and delivery for these courses, which include core courses in the AIM program and a related MISM course: 95-820 NL(X) and LLMs, 94-844 Generative AI Lab, 95-864 AI Model Development, and 94-879 Fundamentals of Operationalizing AI.
Key Responsibilities
• Manage software, data and AI model compliance, including understanding university, local, state and federal policies to ensure course content, computing environments, computer resources, data, information and course delivery meets university, local, state and federal rules.
• Establish, develop and maintain shared compute resources, such as virtual machines or local hosts, for implementing and evaluating Generative AI models.
• Develop course assignments and activities to teach Generative AI model development, evaluation, operationalization, and standard industry practices for AI engineering.
• Translate existing Python programming assignments into LLM Agent or 'Agentic AI' equivalents.
• Collaborate with a supervising professor to align assignments with course objectives.
• Maintain clear documentation of decisions and code structure.
• Assist in testing and validating translated assignments for correctness and usability.
Additional Information
• This is a student-facing, full-time temporary role focused on backend curriculum support.
• The position is ideal for someone looking to contribute to academic development while gaining experience in educational technology and instructional design.
• This is an AI-engineering focused position, supporting AI courses at Heinz College, Carnegie Mellon University. The position is ideal for someone who enjoys building systems, workflows or APIs for large language model (LLM) systems.
Qualifications
Required Qualifications
• Graduate of the AIM program at Heinz College, Carnegie Mellon University.
• Willingness to present or communicate with students on a regular basis.
• Proficiency in Python programming language and LLM System Engineering.
• Experience establishing virtual machine and compute environments (Linux, AWS, GCP).
• Strong understanding of distributed AI system concepts and infrastructure.
• Experience with designing and conducting LLM evaluations and working with LLM APIs.
• Ability to work independently and communicate effectively with faculty supervisor(s).
• Ability to conduct worth with integrity and ethics and work professionally with students.
Preferred Qualifications
• Experience with educational content development or curriculum support.
• Experience with version control systems (e.g., Git).
• Experience working with containers (Docker, Podman, Apple Containers)
• Attention to detail and commitment to producing high-quality instructional materials.

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