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How much do robotics research intern jobs pay per month?

As of Jun 5, 2026, the average monthly pay for robotics research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Robotics Research Intern, and why are they important?

To thrive as a Robotics Research Intern, you need a solid background in robotics, computer science, or engineering, with coursework or experience in algorithms, control systems, and programming (often at least a bachelor's level in progress). Familiarity with technical tools like ROS (Robot Operating System), simulation environments (e.g., Gazebo, MATLAB), and coding languages such as Python or C++ is typically required. Strong problem-solving abilities, teamwork, and effective communication skills help interns contribute meaningfully to collaborative research projects. These skills and qualities are crucial for innovating and advancing robotics solutions in both academic and industry settings.

What types of projects or responsibilities can a Robotics Research Intern expect during their internship?

As a Robotics Research Intern, you can expect to work on a variety of hands-on and collaborative projects, such as developing algorithms for robot perception, assisting in hardware integration, or running experiments to validate robotic systems. Interns often contribute to ongoing research efforts, participate in team meetings, and sometimes co-author research papers. The work environment is typically fast-paced and supportive, with mentorship from experienced researchers and engineers. You'll also have opportunities to present your findings, gain exposure to cutting-edge robotics technology, and network with professionals in the field.

What does a Robotics Research Intern do?

A Robotics Research Intern assists with the development and testing of robotic systems, working under the guidance of experienced engineers or researchers. Their tasks often include programming robots, running experiments, collecting and analyzing data, and documenting results. Interns may also contribute to research papers and presentations, depending on the project. This role provides hands-on experience with cutting-edge robotics technology and helps interns build foundational skills for a career in robotics.

What is the difference between Robotics Research Intern vs Robotics Engineer?

AspectRobotics Research InternRobotics Engineer
CredentialsTypically pursuing or holding a degree in robotics, engineering, or related fieldsBachelor's or master's degree in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, or corporate R&D departmentsDesign, develop, and implement robotic systems in industrial, commercial, or research settings
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, tech firms, automation companies

Robotics Research Interns focus on supporting research projects, gaining hands-on experience, and exploring new technologies. Robotics Engineers are responsible for designing, building, and maintaining robotic systems, often leading projects and applying engineering principles. While both roles require a background in robotics, interns typically have less experience and work under supervision, whereas engineers hold more advanced responsibilities and often have full-time positions.

What cities are hiring for Robotics Research Intern jobs? Cities with the most Robotics Research Intern job openings:
What are the most commonly searched types of Robotics Research jobs? The most popular types of Robotics Research jobs are:
What states have the most Robotics Research Intern jobs? States with the most job openings for Robotics Research Intern jobs include:
Robotics Research Intern jobs near you

Robotics Research Intern, Robot Learning (Summer 2026) | PhD Internship

FieldAI

Pittsburgh, PA

$50 - $53/hr

Other

Posted 12 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.

$50 - $53 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 Models 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. 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.
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