Remote Associate Member of Technical Staff Jobs
Remote Associate Member of Technical Staff jobs are actively hiring across the U.S., with remote-first firms and distributed engineering teams leading demand in software, semiconductors, and cloud infrastructure. Companies posting remote openings right now include micro1 and deCircle. See the openings below and apply to the ones that match your experience.
Find JobsOverview
Showing 5 of 11+ Remote Associate 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 Associate Member of Technical Staff Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Associate Member of Technical Staff Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote associate member of technical staff jobs.
- Bachelor's or master's degree in computer science, electrical engineering, or a closely related technical field
- Proficiency in at least one systems or application programming language such as C++, Python, or Java
- Experience with version control systems and collaborative development workflows
- Ability to read, write, and review technical design documents and architecture specifications
- Familiarity with debugging tools, performance profiling, and unit testing frameworks
- Strong written and verbal communication skills for cross-functional engineering collaboration
Tips for Your Remote Associate Member of Technical Staff Job Search
Apply early to remote roles that fit
Migrate Mate lists remote associate member of technical staff openings from companies hiring across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings.
Show async collaboration in your portfolio
Remote engineering teams rely on written handoffs, documented decisions, and readable code. Add README files, design notes, or pull request descriptions to your public repositories so hiring managers can see how you communicate technical work without real-time interaction.
Prepare for remote technical screens with real tooling
Remote associate member of technical staff interviews typically involve shared coding environments, screen sharing, and async take-home assessments. Practice in tools like collaborative code editors and get comfortable narrating your reasoning in writing as well as verbally, since remote interviewers weigh both.
Signal self-direction in your application materials
Remote employers want evidence you can prioritize and unblock yourself. Describe a project where you identified a problem, researched a solution, and shipped a result without being directed step by step, since that pattern directly maps to what distributed teams expect from associate members.
Remote Associate Member of Technical Staff Jobs: Frequently Asked Questions
How do I get a remote associate member of technical staff job?
Target companies that run distributed engineering teams, since they have established workflows for onboarding and collaborating remotely. Remote employers screen for self-direction, clear written communication, and the ability to contribute to codebases or technical projects asynchronously. Candidates who demonstrate strong debugging skills, familiarity with version control, and a history of shipping work independently stand out in remote hiring pipelines.
Which companies hire remote associate member of technical staffs?
Companies hiring remote associate member of technical staffs right now include micro1 and deCircle, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, cloud platform companies, and distributed semiconductor or AI research teams account for the largest share of these openings.
Can you get a remote associate member of technical staff job with no experience?
Yes, but remote entry-level roles are harder to land because you need to demonstrate independent problem-solving before a team can rely on you without in-person oversight. Companies that hire entry-level remote associate member of technical staffs look for strong academic projects, open-source contributions, or internship work that shows you can read documentation, debug independently, and communicate technical decisions in writing.
Do you need a degree for remote associate member of technical staff jobs?
Not always, though most associate member of technical staff roles at research-oriented or semiconductor firms do expect a bachelor's degree in computer science, electrical engineering, or a related field. Remote employers weigh demonstrated technical ability heavily alongside credentials, so a portfolio of shipped projects, relevant coursework, or verified skills in systems programming or machine learning can reinforce or partially substitute for a formal degree.
See All 11 Remote Associate Member of Technical Staff Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs