Remote Robotics Researcher Jobs
Remote Robotics Researcher jobs are open across autonomous systems, defense technology, industrial automation, and AI research at remote-first companies and distributed engineering teams. Employers hiring remotely right now include HUD, micro1, and Innodata. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 6+ Remote Robotics Researcher jobs
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Robotics & Embodied AI Research
Job Type: Full-time
Location: Remote
The Role
We're hiring a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems.
This is a hands-on research role focused on advancing vision-language-action (VLA) models, generalist robot policies, world models, and emerging approaches to embodied intelligence. You'll design and execute end-to-end robotics experiments, leveraging real-world data, simulation, and human-in-the-loop systems to evaluate and improve robot performance.
You'll independently explore promising research directions and collaborate with leading AI and robotics teams to translate experimental findings into scalable solutions.
What You'll Do
- Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
- Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
- Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
- Leverage flow, our human-in-the-loop annotation platform, to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
- Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
- Rapidly prototype and validate novel approaches to robot learning, policy optimization, and embodied intelligence.
- Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.
What We're Looking For
- Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
- Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
- Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
- Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
- Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
- Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.
- Strong research ownership, experimental judgment, and ability to independently execute complex technical projects.
- Strong technical communication and collaboration skills across research and engineering teams.
Preferred Qualifications
- Experience with world models, reinforcement learning, imitation learning, or diffusion-based robot policies.
- Hands-on experience with teleoperation, robotics hardware, sensor integration, or real-world policy deployment.
- Familiarity with robotics simulators such as MuJoCo, Isaac Sim, or comparable environments.
- Experience building multimodal robotics datasets from egocentric video, robot trajectories, or sensor data.
- Prior experience at a leading robotics or frontier AI research lab.
- Contributions to robotics research publications, open-source frameworks, or benchmark development.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$320,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Apply now
Required Skills
About micro1
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Job Title: Member of Technical Staff, Robotics & Embodied AI Research
Job Type: Full-time
Location: Remote
The Role
We're hiring a Robotics Researcher to drive frontier research in embodied AI, robot learning, and physical AI systems.
This is a hands-on research role focused on advancing vision-language-action (VLA) models, generalist robot policies, world models, and emerging approaches to embodied intelligence. You'll design and execute end-to-end robotics experiments, leveraging real-world data, simulation, and human-in-the-loop systems to evaluate and improve robot performance.
You'll independently explore promising research directions and collaborate with leading AI and robotics teams to translate experimental findings into scalable solutions.
What You'll Do
- Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
- Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
- Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
- Leverage flow, our human-in-the-loop annotation platform, to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
- Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
- Rapidly prototype and validate novel approaches to robot learning, policy optimization, and embodied intelligence.
- Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.
What We're Looking For
- Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
- Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
- Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
- Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
- Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
- Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.
- Strong research ownership, experimental judgment, and ability to independently execute complex technical projects.
- Strong technical communication and collaboration skills across research and engineering teams.
Preferred Qualifications
- Experience with world models, reinforcement learning, imitation learning, or diffusion-based robot policies.
- Hands-on experience with teleoperation, robotics hardware, sensor integration, or real-world policy deployment.
- Familiarity with robotics simulators such as MuJoCo, Isaac Sim, or comparable environments.
- Experience building multimodal robotics datasets from egocentric video, robot trajectories, or sensor data.
- Prior experience at a leading robotics or frontier AI research lab.
- Contributions to robotics research publications, open-source frameworks, or benchmark development.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$320,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Apply now
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Find JobsRemote Robotics Researcher Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote robotics researcher jobs.
- PhD or Master's degree in robotics, computer science, electrical engineering, or a related field
- Proficiency in ROS or ROS 2 and experience with real-time robotic systems
- Strong programming skills in Python and C++ for algorithm development and hardware integration
- Experience with motion planning, perception, localization, or control systems in physical environments
- Familiarity with simulation tools such as Gazebo, Isaac Sim, or MuJoCo for testing and development
- Peer-reviewed publications or demonstrated research contributions in a relevant robotics subfield
Tips for Your Remote Robotics Researcher Job Search
Build a portfolio that shows remote output
Remote robotics researcher employers can't watch you work, so your portfolio has to do it for them. Document simulation results, algorithm benchmarks, and research outcomes with written explanations. Detailed README files and reproducible code repositories tell a hiring manager you produce independently without prompting.
Find remote openings before they get crowded
Migrate Mate lists remote robotics researcher jobs from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through location-filtered listings on general boards. Early applications consistently get more attention from remote hiring teams.
Signal async fluency in your application materials
Remote robotics researcher teams run on written communication. Mention specific async tools you've used, such as Slack, Confluence, or Notion, and give examples of how you've coordinated cross-functional research updates without real-time meetings. Remote employers weight this more heavily than most candidates expect.
Prepare for remote technical screens with simulation demos
Remote interviews for robotics researcher roles frequently include live or take-home simulation tasks in Gazebo, Isaac Sim, or similar environments. Practice narrating your reasoning out loud while you work, since remote interviewers rely heavily on verbal walk-throughs to assess problem-solving process and technical clarity.
Remote Robotics Researcher Jobs: Frequently Asked Questions
How do I get a remote robotics researcher job?
Remote robotics researcher roles go to candidates who can demonstrate deep technical ability and disciplined self-direction without on-site oversight. Companies hiring remotely prioritize strong written communication, comfort with asynchronous collaboration tools, and a portfolio of documented research or project outcomes. Proficiency in ROS, simulation environments, and machine learning frameworks gives you a concrete edge. Published work, open-source contributions, or detailed GitHub repositories signal independent output, which is exactly what remote employers screen for.
Which companies hire remote robotics researchers?
Companies hiring remote robotics researchers right now include HUD, micro1, and Innodata, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology firms, defense contractors with distributed engineering teams, and AI research organizations in autonomous systems and industrial automation.
Can you get a remote robotics researcher job with no experience?
Yes, but remote entry-level robotics researcher roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. The companies most open to entry-level remote candidates are smaller startups and research labs. A strong GitHub portfolio, documented personal or academic projects, and demonstrated fluency with ROS or simulation tools can substitute for professional experience and open the door.
Do you need a degree for remote robotics researcher jobs?
Usually, but a degree in robotics, mechanical engineering, computer science, or a related field is the common baseline rather than a hard requirement everywhere. Remote employers weigh practical skills heavily alongside credentials, so a compelling portfolio of real research projects, published work, or open-source contributions can offset a non-traditional educational background, especially at smaller remote-first firms and early-stage companies.
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