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Part Time Nasa Artificial Intelligence Jobs (NOW HIRING)

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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.

Instructor, BAT Artificial Intelligence - Adjunct Pool

Houston Community College

Houston, TX • On-site

Part-time

Re-posted 22 days ago


Job description

SUMMARY
Provide the expertise and knowledge that support the college curriculum and programs. Establish courses following accepted higher education standards, teach students using a variety of effective methodologies and provide engagement and support activities that encourage student learning. The role of the Instructional Faculty encompasses teaching and learning, academic advising, professional development, and institutional and community service.
The incumbent may teach a maximum load of 9.75 (See Faculty Workload Guidelines) contact hours per week each semester in area(s) of competency and participate as a part-time instructor in the activities of the department, division, and college (See Faculty Workload Guidelines).
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
1. Teaching:
a) Demonstrate skill and/or knowledge in teaching discipline.
b) Make continuous efforts to improve the quality of instruction by reviewing and utilizing innovative methodologies, techniques, and delivery methods.
c) Develop and use a syllabus for each course or laboratory within college, discipline, and departmental guidelines and submit one copy to the department chair.
d) Plan, develop, and use a variety of teaching methods and materials that assist students in meeting course objectives and which are appropriate for students with differing educational and experiential backgrounds and learning styles.
e) Evaluate students to measure their progress toward achievement of stated course objectives and inform them of their progress in the course in a timely manner.
f) Keep accurate student records and submit related reports and forms within requested timelines. (See Faculty Workload Guidelines)
g) Review, evaluate, and recommend student textbooks and learning materials.
h) Teach courses at a variety of times, locations, and modalities in response to institutional programmatic needs.
i) Develop and maintain an LMS (Learning Management System) shell for each assigned course.
j) Use equipment and facilities responsibly and courteously. Where appropriate, assist the chair with the routine maintenance of instructional laboratories.
k) Demonstrate competence and interest in the use of technology in the classroom and willingness to explore new instructional methodologies.
2. Academic Advising:
a) Maintain professional relationships with students, colleagues, and the community.
b) Provide access to students through posted office hours, electronic communication, and other appropriate methods. Provide advice and assistance to students regarding instructional or program-specific issues during class time and office hours.
3. Professional Development:
a) Establish annual objectives for professional growth in consultation with the department chair.
b) Keep pace with developments in the discipline.
c) Learn technologies that support student learning.
d) Participate in department-required annual evaluation process.
4. Institutional and Community Service:
a) Part-time faculty are encouraged but not required to participate in department, college, or district committees and governance organizations.
b) Be familiar with and adhere to all policies and procedures of HCCS.
c) Participation in activities required to maintain program and college accreditation standards.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform the essential duties and responsibilities listed above. The qualifications listed below are representative of the education, experience, knowledge, skills, and/or abilities required.
EDUCATION
Master's degree (or 18 graduate level hours) in a STEM-related field such as Artificial Intelligence, Data Science, Engineering, Physics, Computer Science, or other related science major required.
Doctorate degree in the aforementioned fields preferred.
Copy of transcript conferring required degree and certifications must accompany application.
EXPERIENCE
3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
Beyond expertise in machine learning, preference will be given to applicants with real-world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C , Python, R, Java, Objective-C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. AI industry credentials including AWS, Google preferred.
KNOWLEDGE, SKILLS, AND ABILITIES
1. Willing and able to teach day or evening classes at a number of sites around the city.
2. Knowledge and skill in a variety of computer usage and software are required.
3. Excellent interpersonal skills and the ability to communicate effectively.
4. Possess good organizational and planning skills.
5. Demonstrate sensitivity to students with different academic and socio-economic backgrounds and students with disabilities.
6. Demonstrated ability to inspire and motivate students in a learning-centered environment.
7. Self-disciplined and able to effectively manage others.
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor.
This job description may be revised upon development of other duties and changes in responsibilities.
Additional Information
EEO Statement
Houston City College does not discriminate on the bases of race, color, religion, sex, gender identity and expression, national origin, age, disability, sexual orientation or veteran's status. The following person has been designated to handle inquiries regarding the non-discrimination policies:
Sandra B. Jacobson, J.D., M.Ed., SHRM-SCP, Interim Director of EEO and Compliance & Title IX Coordinator
Office of Equal Opportunity and Title IX
PO Box 667517
Houston TX, 77266
713 718.8271 or hcc.oeotix@hccs.edu
HCC values its employees and their contributions, promotes opportunities for their professional growth and development, and provides a positive working and learning environment that encourages involvement, innovation, and creativity.
Individuals with disabilities, who require special accommodations to interview, should contact (713) 718-8565.