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Weekend Artificial Intelligence Machine Learning Jobs in Virginia

AI Solutions Architect

Mclean, VA · On-site

$63.75 - $84/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

AI Solutions Architect

Richmond, VA · On-site

$62.25 - $82.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

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Weekend Artificial Intelligence Machine Learning information

What is the difference between Weekend Artificial Intelligence Machine Learning vs Data Scientist?

AspectWeekend Artificial Intelligence Machine LearningData Scientist
Required CredentialsRelevant certifications in AI/ML, programming skillsDegree in Data Science, Statistics, or related fields
Work EnvironmentPart-time, project-based, flexible hoursFull-time, office or remote, collaborative teams
Employer & Industry UsageTech companies, startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonOften compared for AI/ML roles with flexible schedulesBroader data analysis roles, often full-time

Weekend Artificial Intelligence Machine Learning roles focus on part-time, flexible projects requiring AI/ML skills and certifications, often in tech environments. Data Scientists typically work full-time in data analysis, requiring advanced degrees and broader industry applications. Both roles involve data handling but differ in work hours, environment, and career scope.

What are Weekend Artificial Intelligence Machine Learning jobs?

Weekend Artificial Intelligence Machine Learning jobs are positions that allow professionals to work specifically on weekends, focusing on tasks related to AI and machine learning. These roles can involve data analysis, model development, algorithm optimization, or supporting AI projects, often in a part-time or contract capacity. They are ideal for individuals seeking flexible work schedules or those wanting to gain experience in AI/ML outside of traditional weekday hours. Such positions are available in various industries, including tech, healthcare, finance, and more.

What are some common challenges faced by professionals working in a weekend Artificial Intelligence Machine Learning role?

Professionals in weekend AI/ML roles often face the challenge of balancing project deadlines with limited working hours, which requires strong time management and prioritization skills. Collaboration can also be more complex, as team members may work on different schedules, making clear communication and documentation especially important. Additionally, staying updated with rapidly evolving AI/ML tools and frameworks can be demanding, so dedicating time for continuous learning is essential. Despite these challenges, weekend roles can offer flexibility and the opportunity to work on cutting-edge projects while accommodating other commitments.

What are the key skills and qualifications needed to thrive as a Weekend Artificial Intelligence Machine Learning Specialist, and why are they important?

To thrive as a Weekend Artificial Intelligence Machine Learning Specialist, you need a solid background in mathematics, statistics, and programming, typically with a degree in computer science or a related field. Experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of data processing tools and cloud platforms, are often required along with relevant certifications. Strong problem-solving abilities, time management, and effective communication skills help professionals excel during limited weekend hours. These competencies ensure that complex AI/ML tasks are efficiently addressed and projects move forward even within a condensed work schedule.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Virginia? The most popular types of Artificial Intelligence Machine Learning jobs in Virginia are:
What are popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Virginia? For Weekend Artificial Intelligence Machine Learning jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Weekend Artificial Intelligence Machine Learning jobs? Cities in Virginia with the most Weekend Artificial Intelligence Machine Learning job openings:
Part-Time Lecturer - Applied Machine Intelligence (Arlington)

Part-Time Lecturer - Applied Machine Intelligence (Arlington)

NorthEastern

Arlington, VA

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

About the Opportunity

The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Arlington Campus.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

Qualified candidates must be prepared to work with global student populations.

The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.

Instructional areas include, but are not limited to:

  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.

Qualifications

Minimum qualifications:

  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:

  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials

Applicants should submit materials including a cover letter and vitae.

Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.

Please direct questions to John Wilder at j.wilder@northeastern.edu.

Applications will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $1,569.00.