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Internship Robot Framework Jobs (NOW HIRING)

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

... • mentor interns and pre-doctoral candidates • author and present scientific papers • ... real robot systems and/or with deep learning frameworks. Preferred : • Research experience in ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

... interns, and contribute to open-source research efforts. Responsibilities : • Develop and ... real robot systems and/or with deep learning frameworks. Preferred : • Research experience in ...

Ai2

Research Scientist, Robotics

Seattle, WA · On-site

... interns and pre-doctoral candidates, author and present scientific papers, and collaborate with ... real robot systems and/or with deep learning frameworks. Preferred : • Research experience in ...

Apptronik

Robotics Test Engineer

Austin, TX · On-site

Test Frameworks: Hands-on experience with pytest or an equivalent framework (unit test, Google Test ... Strong internship and project experience may substitute for a portion of this requirement.

Persona AI

Robotics Data Pipeline Intern

Pensacola, FL · On-site

This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... Tying together work across our Hardware Teleoperation Team to help align human-robot play-data ...

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Internship Robot Framework information

What is the difference between Internship Robot Framework vs QA Automation Intern?

AspectInternship Robot FrameworkQA Automation Intern
Required SkillsBasic knowledge of Robot Framework, Python, test automationKnowledge of automation tools, scripting, testing concepts
Work EnvironmentSoftware testing teams, automation projectsQuality assurance teams, testing environments
CertificationsNot mandatory, but familiarity helpsOptional certifications in testing or automation

Internship Robot Framework and QA Automation Intern roles both focus on test automation, but the former emphasizes Robot Framework skills specifically, while the latter covers broader automation tools and testing concepts. Both are entry-level positions within software testing teams, often requiring basic scripting knowledge and offering hands-on experience in quality assurance processes.

What are the key skills and qualifications needed to thrive as an internship in Robot Framework, and why are they important?

To excel in an Internship focused on Robot Framework, you need a basic understanding of software testing principles, Python programming, and familiarity with test automation concepts. Knowledge of Robot Framework, Selenium, and version control systems like Git is typically expected, while certifications in test automation can be advantageous. Strong analytical skills, eagerness to learn, and effective communication set interns apart in collaborative and fast-paced environments. These abilities are crucial for contributing to test automation projects, ensuring software quality, and supporting team goals.

What is an internship in Robot Framework?

An Internship in Robot Framework is a temporary position where students or recent graduates gain hands-on experience working with the Robot Framework, an open-source automation tool used for test automation and robotic process automation (RPA). Interns typically assist in writing and executing automated test cases, maintaining test scripts, and learning about quality assurance processes. This internship helps individuals develop practical skills in test automation, Python programming, and software development workflows, making them more competitive in the job market.

What types of projects and responsibilities can I expect during an internship focused on Robot Framework?

As an intern working with Robot Framework, you can expect to participate in tasks such as creating, maintaining, and executing automated test scripts for web or software applications. You'll likely collaborate closely with QA engineers and developers to identify test scenarios and ensure the quality of software releases. Common responsibilities include debugging test cases, reporting issues, and improving automation processes. The experience will help you gain hands-on skills in test automation, exposure to CI/CD pipelines, and an understanding of Agile team environments.
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Infographic showing various Internship Robot Framework job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

Robotics Research Internship, Humanoid Manipulation (Fall 2026) | PhD Internship

FieldAI

Boston, MA • On-site

$40 - $60/hr

Internship

Re-posted 14 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 Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI's autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference.

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.
  • Work towards super-human dexterity, developing systems that outperform human teleoperation.
Contribute to the Research Community
  • Work towards publishing a paper in a leading robotics conference/journal
  • Work closely with other researchers, both internal and external.
  • Present your work at Field at robotic conferences
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
  • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
  • Partner closely with researchers and engineers to align experiments with broader autonomy goals.
  • Engage with mechanical and electrical engineers on hardware integration and system bring-up.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical 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.
  • Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)
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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