Remote Staff Researcher Jobs
Remote staff researcher jobs are open across the U.S. at remote-first firms and distributed teams in sectors including tech, consulting, media, and nonprofit research. Companies actively hiring right now include micro1, Deepgram, and Alt Platform. Find a role that fits below and apply directly.
Find Remote Staff Researcher JobsOverview
Showing 5 of 19+ Remote Staff 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
See All 19 Remote Staff Researcher Jobs
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Find Remote Staff Researcher JobsRemote Staff Researcher Job Market
Who's Hiring
Top Industries Hiring
- Science & Research
What Employers Look For
The qualifications that appear most often in remote staff researcher jobs.
- Bachelor's or master's degree in a relevant field such as psychology, human-computer interaction, or social science
- Proficiency in both qualitative and quantitative research methods including interviews, surveys, and usability testing
- Experience synthesizing research findings into clear, actionable reports for non-research stakeholders
- Familiarity with research tools such as survey platforms, statistical software, or qualitative analysis tools
- Ability to manage multiple research projects simultaneously and deliver on defined timelines
- Strong written and verbal communication skills for presenting insights to cross-functional teams
Tips for Your Remote Staff Researcher Job Search
Show your async research process clearly
Remote employers want to see how you document and hand off research, not just what you found. Include annotated source lists, structured research briefs, or methodology notes in your portfolio so hiring teams can assess how you work independently.
Apply early to remote roles that fit
Migrate Mate lists remote staff researcher openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through listings that aren't actually remote.
Highlight written communication in your materials
Remote staff researchers communicate almost entirely in writing. Use your cover letter and any work samples to demonstrate precise, structured prose. Hiring managers treat your application documents as a live sample of how you'll communicate on the job.
Target companies with distributed research teams
Remote-first tech companies, policy think tanks, and distributed consulting firms have built workflows around remote researchers. Focusing your search on organizations that have already hired remotely for this role means you won't need to convince them that the model works.
Remote Staff Researcher Jobs: Frequently Asked Questions
How do I get a remote staff researcher job?
Remote staff researcher roles go to candidates who can demonstrate self-directed work habits, strong written communication, and the ability to synthesize information without hand-holding. Remote employers screen for comfort with async collaboration tools, rigorous source documentation, and the ability to scope and deliver a research brief independently. A portfolio of past research outputs, literature reviews, or policy briefs gives you a concrete edge over candidates who can only describe their experience.
Which companies hire remote staff researchers?
Remote staff researcher roles are posted by micro1, Deepgram, and Alt Platform and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first firms, distributed consulting teams, and mission-driven nonprofits in tech, media, and policy research are among the most consistent hirers of staff researchers in fully remote configurations.
Can you get a remote staff researcher job with no experience?
Yes, but remote entry-level staff researcher roles are harder to land because employers expect you to scope and execute research independently from day one. Smaller remote-first organizations and research nonprofits are more likely to hire junior researchers than large distributed teams. Showing a writing sample, a self-initiated research project, or volunteer research work demonstrates the independent output habits remote employers look for in place of a formal work history.
Do you need a degree for remote staff researcher jobs?
Not always. Many remote employers care more about demonstrated research skills, clear analytical writing, and the ability to synthesize sources than about a specific credential. A degree in a relevant field helps, especially for roles in policy or academic research, but a strong portfolio of research outputs, published work, or rigorous project documentation can substitute effectively for candidates without traditional academic backgrounds.
Which industries hire the most remote staff researchers?
Remote staff researcher roles concentrate in Science & Research, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams where research functions are well suited to async, documentation-heavy workflows that remote staff researchers are hired to support.
See All 19 Remote Staff Researcher Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Staff Researcher Jobs