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Remote Control Systems Research Jobs in Boston, MA

Massgeneralbrigham

Clinical Research Associate

Boston, MA · Remote

$20.16 - $29.01/hr

... systems analysts to advance our mission. As a not-for-profit, we support patient care, research ... Additional Job Details (if applicable) Remote Type Remote Work Location 55 Fruit Street Pay Range ...

Mass General Brigham

Clinical Research Associate

Boston, MA · On-site +1

$20.16 - $29.01/hr

... systems analysts to advance our mission. As a not-for-profit, we support patient care, research ... Additional Job Details (if applicable) Remote Type Remote Work Location 55 Fruit Street Pay Range ...

Turing

Remote Web Research Specialist

Boston, MA · Remote

$30 - $50/hr

... systems. Turing helps customers in two ways: Working with the world's leading AI labs to advance ... Your job is to design research problems that a state-of-the-art AI cannot solve, even with full web ...

Arthrex

Senior Software Engineer- Android (REMOTE)

Boston, MA · On-site +1

$89K - $170K/yr

Senior Software Engineer- Android (REMOTE) Salary Range: Salary Minimum: $89,500.00 Salary Maximum ... Experience with distributed version control systems such as Git * Android * Programming experience ...

Databento

Systems Engineer

Boston, MA · On-site +1

Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT ... We accommodate 100% remote work, with teammates living around the globe and paid in their local ...

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All JobsControl Systems Research JobsRemote Control Systems Research JobsRemote Control Systems Research Jobs in Boston, MA

Remote Control Systems Research information

See Boston, MA salary details

$66.3K

$118.2K

$190.7K

How much do remote control systems research jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote control systems research in Boston, MA is $118,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $137,400.00 per year, depending on experience, location, and employer.

What is remote control systems research?

Remote control systems research jobs focus on the study, development, and improvement of technologies that allow the operation of machines, devices, or processes from a distance. Professionals in this field design and test control algorithms, communication protocols, and interfaces to ensure reliable and secure remote operation. These roles are crucial in industries like robotics, aerospace, manufacturing, and transportation. Researchers may also explore emerging technologies such as wireless networks, AI integration, and cybersecurity to advance the field.

What are the typical collaboration dynamics for professionals in remote control systems research roles?

Professionals in Remote Control Systems Research often work as part of interdisciplinary teams, collaborating closely with engineers, software developers, and hardware specialists. Team members frequently engage in joint problem-solving sessions, contribute to design reviews, and participate in regular progress meetings to ensure project alignment. Effective communication is crucial, especially when working remotely or across different time zones, to integrate research findings into practical system improvements. Collaboration tools and version control systems are commonly used to manage shared projects and streamline workflow.

What are the key skills and qualifications needed to thrive as a remote control systems researcher?

To thrive as a Remote Control Systems Researcher, you need a solid background in control theory, systems engineering, and a relevant degree in electrical, mechanical, or computer engineering. Familiarity with simulation software like MATLAB/Simulink, real-time embedded systems, and programming languages such as Python or C++ is typically required. Strong analytical thinking, problem-solving ability, and effective communication skills help researchers excel in collaborative, innovative environments. These skills are crucial for developing, testing, and optimizing remote control systems that meet rigorous performance and reliability standards.

What is the difference between Remote Control Systems Research vs Remote Control Systems Engineering?

AspectRemote Control Systems ResearchRemote Control Systems Engineering
Required CredentialsTypically requires a master's or PhD in engineering, computer science, or related fieldsUsually requires a bachelor's or master's in electrical, mechanical, or systems engineering
Work EnvironmentResearch labs, academic institutions, R&D departmentsDesign, development, and testing in industrial or manufacturing settings
Employer & Industry UsageUniversities, research institutes, tech companiesManufacturers, automation companies, aerospace, automotive
Common Search & Comparison IntentUnderstanding research roles vs engineering roles in remote control systems

Remote Control Systems Research focuses on developing new theories, algorithms, and prototypes in controlled environments, often within academic or research institutions. In contrast, Remote Control Systems Engineering involves applying existing principles to design, implement, and maintain remote control systems in real-world industrial settings. Both roles require technical expertise but differ in their focus on innovation versus application.

What are popular job titles related to Remote Control Systems Research jobs in Boston, MA?

For Remote Control Systems Research jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Control Systems Research jobs in Boston, MA look for?

The top searched job categories for Remote Control Systems Research jobs in Boston, MA are:

Remote Control Systems Research jobs near you
Infographic showing various Remote Control Systems Research job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,174 per year, or $56.8 per hour.

Research Intern on Generative and Protective AI for Content Creation

Cambridge, MA • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees
Learn more about Sonyexternal

$50/hr

Full-time

Re-posted 9 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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