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Part Time Ai Robotics Jobs (NOW HIRING)

TripleTen

Experience with API integrations, prompt engineering, and RPA platforms. Able to explain automation ... You can join us on a part-time basis (10-15 hours per week) as an instructor leading live sessions ...

Shield AI

Modeling & Simulation Engineer (R4869)

Dallas, TX · On-site

$130K - $200K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Required qualifications: * BS in Computer Science, Aerospace, Robotics, or related field. * 7+ ...

STE Aethon, Inc

Part-Time Buyer

Pittsburgh, PA · On-site

$27 - $31/hr

Specializing in advanced robotics and AI solutions, STE Aethon, Inc. designs and develops ... Part-time positions are eligible to participate in our 401k program. What YOU Will Do:

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How much do part time ai robotics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for part time ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is a part-time AI robotics job?

Part-time AI robotics jobs involve working with artificial intelligence and robotics technologies on a schedule that is less than full-time, typically offering flexible hours. These roles may include tasks such as programming robots, developing AI algorithms, maintaining robotic systems, and assisting in research projects. They are ideal for students, freelancers, or professionals looking to gain experience in robotics and AI without committing to a standard workweek. Part-time positions can be found in industries like manufacturing, healthcare, research, and education.

What are the key skills and qualifications needed to thrive as a part-time AI robotics specialist?

To thrive as a Part-Time AI Robotics Specialist, you need a solid understanding of robotics engineering, programming (Python, C++), and applied mathematics, often backed by coursework or experience in computer science or engineering. Familiarity with robotics platforms (such as ROS), AI frameworks (like TensorFlow or PyTorch), and relevant certifications enhance technical proficiency. Strong problem-solving abilities, teamwork, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing innovative solutions, integrating advanced technologies, and collaborating efficiently in dynamic project environments.

What are some common challenges faced in a part-time AI robotics role, and how can they be effectively managed?

In a part-time AI robotics position, one common challenge is staying up to date with rapidly evolving technologies and integrating new advancements while balancing limited work hours. Additionally, collaborating with full-time team members can require clear communication to ensure project continuity and avoid knowledge gaps. To manage these challenges, it's helpful to maintain organized documentation, participate in regular team meetings, and prioritize tasks that align with both project goals and your availability. Leveraging online resources and continuous learning can also help you stay current and contribute effectively, even in a part-time capacity.

What is the difference between Part Time Ai Robotics vs Part Time Machine Learning Engineer?

AspectPart Time Ai RoboticsPart Time Machine Learning Engineer
Required CredentialsRelevant certifications in AI, robotics, programmingDegree in Computer Science, AI, or related field; certifications in ML
Work EnvironmentRobotics labs, manufacturing settings, research facilitiesTech companies, research labs, startups
Employer & Industry UsageManufacturing, automation, research institutionsTech firms, data-driven companies, startups
Common Search & Comparison IntentUnderstanding roles in AI roboticsExploring careers in machine learning

Part Time Ai Robotics focuses on developing and maintaining robotic systems using AI, often in hands-on environments like labs or manufacturing. In contrast, Part Time Machine Learning Engineers primarily develop algorithms and models for data analysis and AI applications. While both roles require knowledge of AI and programming, Ai Robotics emphasizes hardware integration, whereas Machine Learning Engineers focus on software and data modeling.

More about Part Time Ai Robotics jobs

What are the most commonly searched types of Ai Robotics jobs?

The most popular types of Ai Robotics jobs are:

What job categories do people searching Part Time Ai Robotics jobs look for?

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Part Time Ai Robotics jobs near you
Infographic showing various Part Time Ai Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Research Intern, AI Security - FRA

Pittsburgh, PA • On-site

Fujitsu
IT Services • 10K+ employees
Learn more about Fujitsuexternal

Full-time, Part-time, Internship

Posted 23 days ago

Job description

Pittsburgh, Pennsylvania
Location Flexibility: Multiple Locations in Country
Req Id: 11523
Posting Start Date: 8/20/26
At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.
We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.
We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.
If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.
Together, we can create a more sustainable future for all.
The Security Science Laboratory, or SS Lab, at Fujitsu specializes in integrating research in AI and security to build trust in the increasingly diverse digital society. We are seeking fall-through-spring exceptional interns to join our SS Lab in the US. This position provides an opportunity to solve problems on safety, privacy, and AI alignment in LLM-based agentic systems and Robotics. We value individuals with vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. Self-driven nature, creativity, communication skills, and attention to details are traits of a successful researcher in this role. An intern has an option to work either full time or part time during the academic year.
Job responsibilities
  1. Develop algorithms and systems, conduct experiments, and analyze the results. Potential research topics include, but are not limited to, detecting and preventing multi-turn and multi-stage jailbreaking, adversarial coordination, data poisoning, contextual privacy leakage, improving misalignment with user perceptions in agentic AI systems and robotics.
  1. Publish research papers in scientific conferences on AI, NLP, ML, and Security. Showcase the work via presentation in talks, conferences and workshops.

Requirements
  1. Currently enrolled in a PhD program in computer science or a related discipline, with demonstrated research experience applying AI, NLP, and/or ML techniques to security and privacy challenges in agentic AI or robotics.
  2. Track record of coming up with new ideas or improving upon existing ideas in computing, demonstrated by accomplishments such as publications, projects, or competitions.
  3. Experience in evaluating tools and technologies in processing data from diverse but specialized fields of science.

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