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Part Time Fanuc Robot Programming Jobs in Pittsburgh, PA

Part-Time Buyer

Pittsburgh, PA ยท On-site

$27 - $31/hr

  • Retirement

ST Engineering Aethon, Inc is a forward-thinking robotics company dedicated to revolutionizing the health care and hospitality industries through cutting-edge innovations. Specializing in advanced ...

Part-Time Buyer

Pittsburgh, PA ยท On-site

$27 - $31/hr

  • Retirement

ST Engineering Aethon, Inc is a forward-thinking robotics company dedicated to revolutionizing the ... Part-time positions are eligible to participate in our 401k program. What YOU Will Do:

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Showing results 1-20

Part Time Fanuc Robot Programming information

See Pittsburgh, PA salary details

$16

$35

$51

How much do part time fanuc robot programming jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for part time fanuc robot programming in Pittsburgh, PA is $35.80, according to ZipRecruiter salary data. Most workers in this role earn between $29.62 and $42.02 per hour, depending on experience, location, and employer.

What is the difference between Part Time Fanuc Robot Programming vs Part Time ABB Robot Programming?

AspectPart Time Fanuc Robot ProgrammingPart Time ABB Robot Programming
CredentialsTypically requires Fanuc-specific certifications or trainingRequires ABB-specific certifications or training
Work EnvironmentManufacturing plants using Fanuc robotsManufacturing facilities with ABB robots
Industry UsageCommon in automotive, electronics, and industrial automationUsed in similar industries, including automotive and electronics
Job Search IntentOften compared for automation programming rolesSimilar roles, different robot brand specialization

Part Time Fanuc Robot Programming and Part Time ABB Robot Programming share similar skills and work environments but focus on different robot brands. The main difference lies in the specific certifications required and the robot systems used. Both roles are vital in automation industries, and choosing between them depends on the employer's equipment and your certification background.

What are the most commonly searched types of Fanuc Robot Programming jobs in Pittsburgh, PA?

The most popular types of Fanuc Robot Programming jobs in Pittsburgh, PA are:

What are popular job titles related to Part Time Fanuc Robot Programming jobs in Pittsburgh, PA?

For Part Time Fanuc Robot Programming jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Part Time Fanuc Robot Programming jobs in Pittsburgh, PA look for?

The top searched job categories for Part Time Fanuc Robot Programming jobs in Pittsburgh, PA are:

Robotics Research Intern, Robot Learning (Fall 2026) | PhD Part-time Internship

FieldAI

Pittsburgh, PA โ€ข On-site

$55 - $59/hr

Full-time, Part-time, Internship

Re-posted 11 days ago


Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
We are offering a Summer 2026 internship in Robot Learning for students interested in advancing embodied intelligence through large-scale learning, foundation models, and real-world robotic deployment. As a research intern, you will work closely with FieldAI researchers and engineers to explore novel approaches to robot learning and autonomy, with a focus on scalable methods that generalize across tasks and embodiments.
This internship is designed for PhD students who want to connect cutting-edge AI research with practical robotics systems. You will have the opportunity to design experiments, develop learning pipelines, and validate ideas on real robotic platforms, contributing directly to FieldAI's deployed autonomy stack.
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.

$55 - $59 an hour
What You Have:
  • Current PhD student in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Research experience in robot learning, reinforcement learning, imitation learning, or related areas.
  • Strong foundation in machine learning fundamentals and experimental methodology.
  • Develop multi-modal data collection platform for day/night robot navigation data collection
  • Collect high-quality datasets for reproducible and comparable research and evaluation
  • Summarize and publish learnings in high-quality robot research conference or journal
  • Ability to work independently while collaborating effectively in a research environment.
  • Strong interest in embodied intelligence and real-world robotics systems.
The Extras That Set You Apart
  • Prior experience working with real robot platforms.
  • Familiarity with ROS or ROS 2.
  • Experience with large-scale or distributed training systems.
  • Publications or open-source contributions in robotics or AI.
  • Background in perception, planning, or control for robotics.
  • Interest in bridging foundational research with deployed robotic systems.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Modelsโ„ข set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.