Remote Member of Technical Staff Jobs
Remote Member of Technical Staff jobs are in strong demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for these roles in software, AI infrastructure, and cloud computing. Employers hiring remotely right now include micro1 and deCircle. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 11+ Remote Member of Technical Staff 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
See All 11 Remote Member of Technical Staff Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Member of Technical Staff Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote member of technical staff jobs.
- Bachelor's or master's degree in computer science, electrical engineering, or a related technical field
- Proficiency in at least one systems or application programming language such as C++, Python, Go, or Java
- Experience designing, building, and operating large-scale distributed systems or infrastructure components
- Demonstrated ability to lead technical projects and make independent architectural decisions
- Familiarity with cloud platforms, containerization, and modern CI/CD engineering practices
- Strong written and verbal communication skills for cross-functional technical collaboration
Tips for Your Remote Member of Technical Staff Job Search
Show async work samples upfront
Remote hiring managers for member of technical staff roles scan for evidence you produce independently. Link a public repo, a technical write-up, or a design doc in your application materials so reviewers see real output before the first call.
Apply early to remote roles that fit
Migrate Mate lists remote member of technical staff openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through location-filtered listings on general boards.
Sharpen your written technical communication
Remote member of technical staff work runs on written communication: design docs, pull request comments, and async Slack threads replace whiteboard sessions. Practice writing precise, well-structured technical explanations before your interviews start, since remote teams hire for this skill explicitly.
Prepare for remote system design interviews
Remote member of technical staff interviews often use shared diagramming tools like Excalidraw or Miro instead of physical whiteboards. Practice talking through architecture decisions clearly while drawing live in a shared doc so the format feels natural, not awkward, on the day.
Remote Member of Technical Staff Jobs: Frequently Asked Questions
How do I get a remote member of technical staff job?
Target remote-first companies and distributed engineering teams, since they have the systems and culture to onboard technical staff without an office. Remote employers screen hard for self-direction, clear async written communication, and deep hands-on skills in areas like systems design, ML infrastructure, or distributed computing. A strong public portfolio, open-source contributions, or documented shipped work gives you a concrete edge over candidates with similar credentials but no visible output.
Which companies hire remote member of technical staffs?
Employers currently hiring remote member of technical staffs include micro1 and deCircle, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, AI research labs, and cloud infrastructure teams are among the most consistent hirers of this role in a distributed setting.
Can you get a remote member of technical staff job with no experience?
Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one with minimal in-person guidance. Early-stage startups and open-source-driven companies are most likely to take a chance on newer candidates. What opens the door is demonstrable technical output: a public GitHub, a shipped side project, or a meaningful contribution to an active codebase that shows you can produce results without supervision.
Do you need a degree for remote member of technical staff jobs?
Not always. Remote employers in this role care far more about what you've built and shipped than where you studied. Many remote-first companies have dropped degree requirements entirely, evaluating candidates on coding assessments, system design discussions, and portfolio work instead. A degree in computer science or a related field helps at research-heavy organizations, but demonstrated engineering depth consistently carries more weight than credentials alone.
See All 11 Remote Member of Technical Staff Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs