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Internship Sim Racing Jobs (NOW HIRING)

... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... Demonstrated research and software engineering experience via an internship, work experience ...

$11.50 - $15.50/hr

In this internship, you will support the lifecycle of IT assets such as laptops, phones, tablets ... SIM subscriptions. You'll learn how assets are ordered, assigned, updated, returned, and audited ...

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Internship Sim Racing information

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$9

$17

$23

How much do internship sim racing jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship sim racing in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Sim Racing participant, and why are they important?

To thrive in an Internship Sim Racing role, you need a strong understanding of motorsport principles, racing strategy, and basic mechanical knowledge, often supported by coursework or experience in motorsport engineering or related fields. Familiarity with sim racing platforms (such as iRacing, Assetto Corsa, or rFactor), telemetry analysis software, and data logging systems is typically required. Strong communication, teamwork, and adaptability help you collaborate effectively with engineers, drivers, and other team members. These skills are vital to maximize performance, contribute to team success, and gain practical experience in a competitive racing environment.

What types of projects and responsibilities can I expect during an internship in sim racing?

As a sim racing intern, you'll likely work on a variety of tasks such as assisting with race event organization, supporting data analysis for drivers, helping with simulator setup and maintenance, and contributing to content creation for teams or sponsors. You may also collaborate closely with engineers, drivers, and marketing staff to ensure smooth operations and enhance the team's competitive edge. This hands-on experience provides valuable insights into both the technical and business sides of the sim racing industry, making it a great stepping-stone for future roles in motorsport or esports.

What is an Internship in Sim Racing?

An Internship in Sim Racing is a temporary, learning-focused position that provides hands-on experience in the world of virtual motorsports. Interns may work with sim racing teams, esports organizations, or companies that develop sim racing hardware and software. Responsibilities can range from assisting with event organization, supporting drivers, contributing to content creation, or working on technical aspects like telemetry analysis. This type of internship is ideal for individuals looking to gain industry knowledge, network with professionals, and develop relevant skills for a career in sim racing or esports.

What is the difference between Internship Sim Racing vs Sim Racing Coach?

AspectInternship Sim RacingSim Racing Coach
CredentialsBasic knowledge of sim racing, possibly enrolled in related coursesExpertise in racing techniques, coaching certifications often preferred
Work EnvironmentInternship programs, team settings, racing centers or online platformsOne-on-one coaching sessions, online or in-person
Industry UsageEntry-level training, skill development, industry exposureSkill improvement, race strategy, performance analysis

Internship Sim Racing typically involves gaining foundational experience in sim racing through internships, focusing on learning and skill development. In contrast, a Sim Racing Coach provides expert guidance to improve racing performance. While internships are more about training and exposure, coaching is about personalized skill enhancement.

More about Internship Sim Racing jobs
What cities are hiring for Internship Sim Racing jobs? Cities with the most Internship Sim Racing job openings:
What are the most commonly searched types of Sim Racing jobs? The most popular types of Sim Racing jobs are:
What states have the most Internship Sim Racing jobs? States with the most job openings for Internship Sim Racing jobs include:
Infographic showing various Internship Sim Racing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
AI Research Scientist, Robotics

AI Research Scientist, Robotics

Meta

Menlo Park, CA

$184K/yr

Full-time

Posted 19 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 184 rated software companies


Job description

Meta is seeking a Research Scientist to join Meta Superintelligence Labs. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models. You should have a keen interest in producing new, open science to make embodied agents more intelligent.
AI Research Scientist, Robotics Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new capabilities needed for the next generation of AI
  • Conduct research towards long-term research goals while identifying intermediate milestones
  • Lead, plan, and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
  • 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • 5+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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