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Robotics Research Assistant Jobs in Massachusetts

Generalist

Research Assistant

Somerville, MA · On-site

$50 - $70/hr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... At Generalist, we are building foundation models for robots. These models improve through a tight ...

New

INFOSYS NOVA HOLDINGS LLC

Robotic Tester

Boston, MA · On-site

$60K - $80K/yr

... ongoing robotics research and development. This position is ideal for candidates with a STEM ... Report system issues and observations through established reporting tools. * Assist with light ...

ISEE

Robotics Engineer - Robotic Arm

Cambridge, MA

... academic research lab, or through internships. Role responsibilities include: -Develop, test ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

ISEE

Robotics Engineer - Robotic Arm

Cambridge, MA · On-site

... academic research lab, or through internships. Role responsibilities include: -Develop, test ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

ISEE

Robotics Engineer - Robotic Arm

Cambridge, MA · On-site

... academic research lab, or through internships. Role responsibilities include: -Develop, test ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Worcester Polytech

Assistant Professor

Worcester, MA · On-site

$105K - $118K/yr

JOB TITLE Assistant Professor LOCATION Worcester DEPARTMENT NAME Mechanical & Materials Engineering ... education, research, and innovation in robotics. It isbuilt onan ABET-accredited Robotics ...

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Robotics Research Assistant information

What does a robotics research assistant do?

A Robotics Research Assistant typically supports research projects by helping design, build, and test robotic systems. They often assist with programming robots, collecting and analyzing data from experiments, and collaborating with researchers or engineers. Their responsibilities may also include conducting literature reviews, preparing reports, and maintaining laboratory equipment. This role is important in advancing robotics technology and innovation.

What are the key skills and qualifications needed to thrive as a robotics research assistant, and why are they important?

To thrive as a Robotics Research Assistant, you need a solid background in robotics, computer science, or engineering, with experience in programming languages like Python or C++ and a relevant degree. Familiarity with robotics platforms (such as ROS), simulation tools (like Gazebo or MATLAB), and data analysis software is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills help you contribute meaningfully to research projects. These skills and qualities are vital for efficiently advancing robotics research, troubleshooting complex systems, and working successfully within interdisciplinary teams.

What are some common challenges faced by robotics research assistants during experimental testing and data collection?

Robotics Research Assistants often encounter challenges such as troubleshooting hardware malfunctions, ensuring consistent experimental setups, and managing large datasets for analysis. Because robotics experiments can be sensitive to environmental variables, maintaining repeatability and documenting procedures are crucial. Collaboration with other team members, such as engineers and programmers, is essential to quickly resolve issues and keep projects on track. Developing strong problem-solving skills and adaptability is key to overcoming these challenges and contributing effectively to research goals.

What are the most commonly searched types of Robotics Research jobs in Massachusetts?

The most popular types of Robotics Research jobs in Massachusetts are:

What are popular job titles related to Robotics Research Assistant jobs in Massachusetts?

For Robotics Research Assistant jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Robotics Research Assistant jobs in Massachusetts look for?

The top searched job categories for Robotics Research Assistant jobs in Massachusetts are:

What cities in Massachusetts are hiring for Robotics Research Assistant jobs?

Cities in Massachusetts with the most Robotics Research Assistant job openings:

Robotics Research Assistant jobs near you
Infographic showing various Robotics Research Assistant job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Research Assistant

Generalist

Somerville, MA • On-site

$50 - $70/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Run structured experiments on robot platforms and collect high-quality data while tracking experimental conditions

  • Design evaluation tasks, prepare physical setups, and troubleshoot hardware or procedural issues

  • Analyze experimental results to assess model improvements, ensure repeatability, and communicate findings clearly

Job description

About the Role:

We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry‑level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.

At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine‑tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.

You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.

A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands‑on iteration, sample sizes, variance, repeatability, and statistical rigor.

You’ll be responsible for:

  • Running structured experiments on robot platforms

  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations

  • Collecting high‑quality robot data and tracking experimental conditions

  • Measuring real‑world success rates across tasks, robots, and model variants

  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias

  • Analyzing results to help distinguish real model improvements from noise

  • Synthesizing findings and communicating them clearly to ML researchers and engineers

  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations

  • Helping kick off training jobs, run evaluations, and organize results

  • Beta testing internal and third‑party tools for teaching robots new skills

  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks

  • Writing clear documentation and playbooks so others can reproduce workflows

  • Improving experimental reliability, data quality, and operational throughput over time

You might thrive in this role if you:

  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations

  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support

  • Are diligent and detail‑oriented, especially when tasks are repetitive but subtle differences matter

  • Enjoy hands‑on work with physical systems, equipment, materials, or instruments

  • Are comfortable following protocols while also noticing when something is wrong or could be improved

  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation

  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests

  • Are curious about machine learning and robotics, even if you are not yet an expert in either

  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling

  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone

We are an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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