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Part Time Nasa Artificial Intelligence Jobs (NOW HIRING)

NorthWest Arkansas Community College (NWACC) is seeking qualified applicants to establish a pool for part-time and/or substitute instructors to teach foundational courses in Artificial Intelligence ...

NorthWest Arkansas Community College (NWACC) is seeking qualified applicants to establish a pool for part-time and/or substitute instructors to teach foundational courses in Artificial Intelligence ...

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Part Time Nasa Artificial Intelligence information

What is a part time NASA artificial intelligence job?

Part-time NASA Artificial Intelligence jobs involve working with NASA teams on projects that use AI technologies, but on a reduced or flexible schedule. These roles may include tasks like developing machine learning algorithms, analyzing satellite data, or improving autonomous systems used in space exploration. Part-time positions can be designed for students, researchers, or professionals who want to contribute to NASA’s missions while balancing other commitments. Such jobs often require strong backgrounds in computer science, data science, or engineering, and provide opportunities to work on cutting-edge research that supports NASA’s goals.

What are the typical collaboration opportunities for part-time professionals working on NASA artificial intelligence projects?

Part-time team members working on NASA AI initiatives often collaborate closely with multidisciplinary teams, including data scientists, engineers, and domain experts from various NASA departments. While scheduling can be more flexible, communication tools and regular virtual meetings help ensure part-time staff remain integrated and contribute effectively. This collaborative environment offers valuable exposure to cutting-edge research and the opportunity to network with leading experts, which can be advantageous for career development. Effective time management and proactive communication are key to maximizing your impact in a part-time capacity.

What are the key skills and qualifications needed to thrive as a part time NASA artificial intelligence specialist, and why are they important?

To excel as a Part-Time NASA Artificial Intelligence Specialist, you need strong expertise in machine learning, data analysis, and programming (typically in Python or similar languages), supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks such as TensorFlow or PyTorch, and experience with cloud computing platforms, are commonly required, along with security clearance for some projects. Exceptional problem-solving skills, attention to detail, and effective communication are vital soft skills for collaborating on innovative research and interdisciplinary teams. These skills ensure the development of reliable AI solutions that advance NASA's missions while maintaining safety, accuracy, and scientific integrity.

What is the difference between Part Time Nasa Artificial Intelligence vs Part Time Nasa Data Analyst?

AspectPart Time Nasa Artificial IntelligencePart Time Nasa Data Analyst
Required CredentialsRelevant degrees in AI, computer science, or related fields; certifications in AI or machine learningDegrees in data science, statistics, or related fields; certifications in data analysis or visualization
Work EnvironmentResearch labs, tech teams, collaborative projects within NASAData centers, research teams, reporting environments within NASA
Employer & Industry UsageUsed in developing AI models for space exploration, automation, and roboticsUsed for analyzing space mission data, generating reports, and supporting decision-making

While both roles support NASA's missions, Part Time Nasa Artificial Intelligence focuses on developing and implementing AI technologies, whereas Part Time Nasa Data Analyst emphasizes analyzing and interpreting data to inform decisions. The roles often overlap but differ mainly in technical focus and skill sets.

More about Part Time Nasa Artificial Intelligence jobs

What are the most commonly searched types of Nasa Artificial Intelligence jobs?

The most popular types of Nasa Artificial Intelligence jobs are:

Infographic showing various Part Time Nasa Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Artificial Intelligence Instructor

DirectedLINK

Los Angeles, CA • On-site

$42 - $52/hr

Part-time, Contractor

Re-posted 8 days ago


Job description

Artificial Intelligence Instructor

Location: Los Angeles, CA, USA

On-site

Schedule: Part-time, approximately 20 hours per week

Pay: $42–$52 per hour

Type: Contract-to-Hire

Overview

A national union academic and workforce training center is seeking an experienced Artificial Intelligence Instructor to teach a 12-week, hands-on program focused on generative AI, creative technology, and AI-assisted media production. The instructor will develop and deliver engaging in-person lessons for students and working professionals across construction, engineering, electrical, and building-management industries.

Key Responsibilities

  • Develop and implement a 12-week course syllabus
  • Teach practical generative AI and creative-production workflows
  • Lead classroom demonstrations, workshops, and project critiques
  • Mentor students and provide actionable feedback
  • Explain technical concepts in an accessible way
  • Cover ethical, legal, and professional considerations involving AI-generated content
  • Collaborate with program leadership to maintain curriculum quality

Required Qualifications

  • Professional teaching, training, or instructional experience
  • Hands-on experience with generative AI tools and workflows
  • Strong communication and presentation skills
  • Ability to teach both creative concepts and technical processes
  • Ability to work on-site in Los Angeles

Preferred Experience

  • ComfyUI, Flux, LoRA training, ChatGPT, Gemini, Veo, Luma, Seedance, or similar platforms
  • Generative image and video workflows
  • Photoshop, Premiere, Nuke, After Effects, or Fusion
  • AI-assisted storytelling, visual development, or media production
  • Engineering Technology, construction, engineering, or related industry exposure