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Weekend Artificial Intelligence Machine Learning Jobs in Fort Wayne, IN

Design, build, and optimize artificial intelligence, machine learning, and statistical modeling solutions to support mission requirements. * Create visualizations and dashboards using Tableau and/or ...

Front-End Developer, Craftsman

Fort Wayne, IN · On-site

$95K - $110K/yr

Contribute to data and analytics efforts that use emerging analytical techniques, visualization methods, and artificial intelligence or machine learning-enabled processes. * Participate in boards ...

Design, build, andoptimizeartificial intelligence, machine learning, and statistical modeling ... Minimum of 7+ years of combined experience in data science, data visualization, artificial ...

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Weekend Artificial Intelligence Machine Learning information

See Fort Wayne, IN salary details

$13

$25

$47

How much do weekend artificial intelligence machine learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for weekend artificial intelligence machine learning in Fort Wayne, IN is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.50 per hour, depending on experience, location, and employer.

What is a weekend artificial intelligence machine learning job?

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 the key skills and qualifications needed to thrive as a weekend artificial intelligence machine learning specialist?

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 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 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 popular job titles related to Weekend Artificial Intelligence Machine Learning jobs in Fort Wayne, IN?

For Weekend Artificial Intelligence Machine Learning jobs in Fort Wayne, IN, the most frequently searched job titles are:

What job categories do people searching Weekend Artificial Intelligence Machine Learning jobs in Fort Wayne, IN look for?

The top searched job categories for Weekend Artificial Intelligence Machine Learning jobs in Fort Wayne, IN are:

What cities near Fort Wayne, IN are hiring for Weekend Artificial Intelligence Machine Learning jobs?

Cities near Fort Wayne, IN with the most Weekend Artificial Intelligence Machine Learning job openings:

Infographic showing various Weekend Artificial Intelligence Machine Learning job openings in Fort Wayne, IN as of September 2026, with employment types broken down into 5% Internship, 79% Full Time, 11% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $54,072 per year, or $26 per hour.

Artificial Intelligence Faculty

Fort Wayne, IN • On-site

Indiana Tech
Colleges, Universities, and Professional Schools • 201 - 500 employees

Full-time

Posted 16 days ago


Key responsibilities

  • Develop new courses and programs related to artificial intelligence and related disciplines.

  • Teach undergraduate and graduate courses in face-to-face and online formats.

  • Advise and mentor students, and participate in student recruitment and retention efforts.


Job description

Indiana Tech is a thriving, independent, teaching-oriented university that delivers career-oriented programming in a wide variety of disciplines that includes business, engineering, computer sciences, criminal justice, cybersecurity, marketing, health sciences, communication and helping professions. Indiana Tech enrolls nearly 1,500 students in its traditional undergraduate programs on its picturesque main campus, and nearly 5,000 students in its adult and online program. We offer degrees at the associate, bachelor's, master's, and doctoral levels and undergraduate and graduate certificates.
Over 41% of our students are either globally or domestically diverse; this contributes to our unique vibrant and inclusive campus community. All academic programs are designed to provide students with relevant and practical experiences, including an emphasis on internships. The university is accredited by the Higher Learning Commission.
Indiana Tech is committed to fostering a welcoming and respectful environment for all. We actively support the recruitment, engagement, and retention of students, faculty, and staff from a wide range of experiences, backgrounds, and perspectives. We believe that creating a sense of connection and support across our campus community plays an essential role in preparing students to succeed and contribute in a global society.
Indiana Tech has big plans for its future. Learn more at Indiana Tech Strategic Plan or strategicplan.indianatech.edu.
Indiana Tech invites applications for a full-time faculty member in Artificial Intelligence (AI) to join the Talwar College of Engineering and Computer Sciences. This position offers an exceptional opportunity to contribute to the growth of innovative undergraduate and graduate programs while preparing students to become leaders in one of the fastest-growing fields in technology. The successful candidate will possess expertise in artificial intelligence and related disciplines, including machine learning, deep learning, computer vision, natural language processing, foundation models, large language models, and emerging AI methodologies. Preference will be given to candidates who can teach across multiple programs, including artificial intelligence, computer science, computer engineering, cybersecurity, and information systems.
This is a full-time, 12-month teaching faculty position that may be filled as either a tenure-track appointment or at the Professor of Practice rank, depending on the qualifications and experience of the selected candidate. Faculty are expected to teach in both face-to-face and online formats while contributing to the ongoing development and continuous improvement of academic programs. Responsibilities include developing new courses and programs, enhancing existing curricula, advising and mentoring students, participating in student recruitment and retention efforts, and collaborating with faculty across disciplines to support interdisciplinary learning opportunities. The successful candidate will also maintain academic records, support accreditation and assessment activities, contribute to ABET-related data collection and continuous improvement initiatives, and engage in professional development and service activities that support the mission and strategic priorities of both the College and the University.
Qualified candidates must possess a master's degree in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, or a closely related field; a terminal degree is preferred. College-level teaching experience and online teaching experience are desirable, along with a demonstrated ability to communicate effectively with diverse audiences through strong written and oral communication skills. Industry experience in artificial intelligence, machine learning, software development, data science, cybersecurity, or related fields is highly valued, particularly for candidates seeking appointment as a Professor of Practice.
Indiana Tech is a student-centered institution committed to providing career-focused education that prepares graduates to thrive in a rapidly changing global economy. Located in Fort Wayne, Indiana, Indiana Tech offers a collaborative academic environment, strong industry partnerships, and a commitment to innovation, applied learning, and student success. Candidates who are passionate about advancing AI education and contributing to a vibrant academic community are encouraged to apply.
**Application materials must include Vita and unofficial transcripts. Applicants must be prepared to provide a written response to Tech's mission and vision. The position remains open until filled; a review of candidates will commence as application materials are received.