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Part Time Engineering Jobs in Yukon, OK (NOW HIRING)

Estimated Appointment End Date (Continuous if Blank) Full/Part-Time Part time Job Type Regular ... Incumbents will perform basic engineering tasks such as the review of less complex plans, the ...

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Part Time Engineering information

See Yukon, OK salary details

$10

$26

$48

How much do part time engineering jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for part time engineering in Yukon, OK is $26.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $32.02 per hour, depending on experience, location, and employer.

What is part time engineering?

Part time engineering refers to engineering positions that require fewer working hours than a standard full-time job, typically offering flexible schedules. These roles may be ideal for students, parents, retirees, or those seeking additional work-life balance. Part-time engineers perform many of the same duties as full-time engineers, such as designing, analyzing, or maintaining systems, but on a reduced schedule. This arrangement can be found in various engineering fields, including civil, mechanical, electrical, and software engineering.

What are the key skills and qualifications needed to thrive as a part time engineer?

To thrive as a Part Time Engineer, you need a solid background in engineering principles, problem-solving abilities, and a relevant degree or coursework in your specific discipline. Familiarity with industry-standard design software (such as AutoCAD or SolidWorks), data analysis tools, and sometimes certifications like EIT or FE are typically beneficial. Strong time management, communication, and teamwork skills help you efficiently balance project demands and collaborate effectively in limited working hours. These competencies ensure you can contribute meaningful results and maintain productivity within a flexible or reduced schedule.

What are some common challenges faced by part time engineers, and how can they be addressed?

Part-time engineers often face challenges such as balancing multiple responsibilities, staying updated with project changes, and maintaining effective communication with full-time team members. To address these issues, it's important to establish clear expectations with supervisors, use collaborative tools for project tracking, and proactively schedule regular check-ins with the team. Adopting these practices can help part-time engineers stay engaged and ensure their contributions align with overall project goals.

What is the difference between Part Time Engineering vs Part Time Engineering Technician?

AspectPart Time EngineeringPart Time Engineering Technician
Required CredentialsEngineering degree or courseworkTechnical diploma or associate degree in engineering technology
Work EnvironmentDesign, analysis, project planningTesting, troubleshooting, equipment maintenance
Employer & Industry UsageEngineering firms, manufacturing, constructionManufacturing plants, labs, technical support roles

Part Time Engineering roles typically involve design, analysis, and project planning, requiring an engineering degree. In contrast, Part Time Engineering Technicians focus on testing, troubleshooting, and equipment maintenance, often requiring a technical diploma. Both roles are common in manufacturing, construction, and engineering industries, but they differ in responsibilities and required credentials.

What are the most commonly searched types of Engineering jobs in Yukon, OK?

The most popular types of Engineering jobs in Yukon, OK are:

What cities near Yukon, OK are hiring for Part Time Engineering jobs?

Cities near Yukon, OK with the most Part Time Engineering job openings:

Infographic showing various Part Time Engineering job openings in Yukon, OK as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,360 per year, or $26.6 per hour.

AI Flight Optimization Engineering Intern

Oklahoma City, OK

$15.50 - $20/hr

Part-time, Internship

Re-posted 8 days ago


Job description

About Skydweller

Skydweller is developing the world's largest autonomous solar-powered aircraft, designed to provide persistent, long-duration flight capabilities for defense, and commercial missions. Our aircraft combines advanced aerospace engineering, autonomy, renewable energy technologies, and artificial intelligence to enable next-generation aviation capabilities.

Skydweller's engineering and flight-test programs generate significant volumes of aircraft telemetry, environmental data, and mission information. We are applying emerging AI technologies to transform this data into actionable insights that improve aircraft performance, operational efficiency, and mission planning.


About the Role

Skydweller is seeking an intern to support the development of an Agentic AI system dedicated to flight operations and optimization for long-endurance unmanned aircraft systems (UAS).

The intern will work alongside experienced aerospace, software, and AI engineers to design and prototype an Agentic AI system capable of analyzing flight-test telemetry, weather data, and mission constraints to generate recommendations that improve endurance, energy efficiency, and aircraft performance.

The intern will participate in a structured, mentored R&D experience progressing from AI fundamentals through implementation and validation of a functional prototype supporting Skydweller's flight optimization efforts.


Why Join Skydweller?

This internship provides a unique opportunity to work on advanced aerospace technology while helping define the future of AI-assisted engineering.

Unlike traditional AI projects focused on generic applications, this role applies emerging AI technologies to a real-world autonomous aircraft program. The intern will contribute directly to the development of tools that improve aircraft endurance, mission effectiveness, and engineering decision-making.

Successful candidates will gain experience at the intersection of artificial intelligence, aerospace engineering, and autonomous systems, while working with an experienced team developing next-generation aviation capabilities.



Student Requirements

  • Interns must be currently enrolled undergraduate or graduate students at an Oklahoma college/university, or CareerTech students concurrently enrolled in college-level coursework
  • Due to the nature of the work, the intern needs to be a U.S. Person (US Citizen/Green Card holder)

Qualifications

  • Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or related field
  • Proven experience with Python programming
  • Prior participation in R&D projects, especially in the fields of AI-agent, Aerospace, or Meteorology, is a plus
  • Familiarity with AI/ML concepts (LLMs, Deep Learning, etc.), or data processing preferred

Responsibilities

The AI Flight Optimization Engineering Intern will serve in a junior, mentored software development role within Skydweller's Research & Development environment. Responsibilities include:

  • Develop Python-based tools and AI workflows using modern software development practices and Git version control
  • Assist with data preparation, system testing, and validation activities
  • Document code, workflows, system architecture, and write activity reports
  • Participate in agile development cycles, design reviews, and technical discussions

Learning Experience

During the internship, the candidate will gain practical experience in:

  • Artificial intelligence and machine learning applications for aerospace systems
  • Agentic AI architectures and AI-enabled engineering workflows
  • Processing and analysis of aerospace telemetry datasets
  • Software development in a production-oriented aerospace environment
  • Autonomous aircraft operations and flight optimization concepts



Work Environment
This is a part-time 1-year internship onsite at the Skydweller Oklahoma City (OKC) Office. The role integrates the intern directly into active aerospace R&D workflows, providing exposure to advanced autonomous systems development and collaboration with AI and engineering teams.