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Robotics Research Intern information

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How much do robotics research intern jobs pay per month?

As of Jul 18, 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 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 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 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 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:

1.53 Robotics Research Internship, Humanoid Manipulation (Summer 2026) | PhD Internship

FieldAI

Boston, MA

$40 - $60/hr

Other

Re-posted 20 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

We are offering a Summer 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on real robotic systems. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities for humanoid robots that directly support FieldAI's autonomy and robot learning efforts.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop manipulation systems, and test ideas on real hardware. This internship emphasizes translating research into practical, scalable systems, while also contributing to longer-term efforts around embodiment-agnostic robotics foundation models.
What You Will Get To Do
  • Advance Humanoid Manipulation Research
  • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
  • Explore loco-manipulation problems that integrate perception, planning, and control.
  • Contribute to research projects from early ideas through on-robot experimentation.
  • Build Systems That Bridge Research and Deployment
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection and evaluation.
  • Help ensure manipulation systems are robust, reproducible, and field-relevant.
  • Contribute to Robotics Foundation Model Development
  • Support data collection pipelines used to train robotics foundation models.
  • Work with embodiment-agnostic representations to enable transfer across robot platforms.
  • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Engage closely with researchers and engineers to align experiments with broader autonomy goals.
  • Rapidly Iterate and Learn
  • Prototype quickly, run experiments on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
  • Strong foundation in robot kinematics, dynamics, and control.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
The Extras That Set You Apart
  • Prior experience working with humanoid robots or dexterous robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Hands-on experience running experiments on real robot hardware.
  • Familiarity with ROS or ROS 2.
  • Publications, preprints, or open-source contributions in robotics or AI.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$40 - $60 an hour
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.

You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.

Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.

Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.

Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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.
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