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Part Time Optima Energy Jobs (NOW HIRING)

Smith Engineering

Technical Trainer (Part-Time)

New York, NY · On-site

$35.50 - $47.25/hr

For more than a dozen years, we have been a leader in central plant design and optimization ... By uniting expertise in design, energy, controls, and workforce development, we empower industry ...

Optimal Performance

Client Care Specialist

Wichita, KS · On-site

$15 - $25/hr

OPTIMAL PERFORMANCE Client Care Specialist ABOUT US: At Optimal Performance, we help high-achieving ... Position Type: * Part-time. * Full-time. * Part-time with opportunity to grow into full-time. * Pay ...

Beusa Energy Group

Beusa Intern

The Woodlands, TX · On-site

$13.75 - $18.25/hr

Beusa Energy Intern Department: Varies Job Status: Part-Time FLSA Status: Hourly Non-Exempt Reports ... Gain hands-on experience in logistics management, equipment maintenance, and process optimization ...

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How much do part time optima energy jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for part time optima energy in the United States is $55.33, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $67.31 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Optima Energy jobs?

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Part Time Optima Energy jobs near you
Infographic showing various Part Time Optima Energy job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $115,082 per year, or $55.3 per hour.

AI Flight Optimization Engineering Intern

Oklahoma City, OK • On-site

Skydweller US
See more jobs at Skydweller USexternal

$15.50 - $20.25/hr

Part-time, Internship

Re-posted 24 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.

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