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Entry Level Robotics Research Jobs (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

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 ...

FieldAI

Robotics QA/QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... entry-level candidates with relevant experience or projects) * Comfort working with physical ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

FieldAI

Robotics QA/QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... entry-level candidates with relevant experience or projects) * Comfort working with physical ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

FieldAI

Robotics QA/QC Engineer

Irvine, CA · On-site

$30 - $45/hr

... entry-level candidates with relevant experience or projects) * Comfort working with physical ... Research Institute, and SpaceX, along with a track record of field deployments and strong ...

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How much do entry level robotics research jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level robotics research in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is entry level robotics research?

Entry level robotics research jobs are positions for recent graduates or individuals with limited experience in robotics, focusing on assisting with the development, testing, and analysis of robotic systems. These roles typically involve tasks such as data collection, running experiments, writing code, and supporting senior researchers in their projects. Candidates usually have backgrounds in fields like mechanical engineering, computer science, or electrical engineering, and are eager to learn and contribute to ongoing research in robotics. These positions provide a foundation for building expertise in robotics and can lead to more advanced research or engineering roles.

What are the key skills and qualifications needed to thrive as an entry level robotics researcher?

To thrive as an Entry Level Robotics Researcher, you need a solid background in robotics, computer science, or engineering, typically with a bachelor's degree in a related field. Familiarity with programming languages such as Python or C++, robotics simulation tools, and hardware platforms like ROS (Robot Operating System) is highly valued. Strong analytical thinking, problem-solving abilities, and collaboration skills help you contribute effectively to research teams and projects. These competencies are crucial for developing innovative solutions and advancing research in the rapidly evolving field of robotics.

What are some common challenges faced by professionals in entry level robotics research roles, and how can they be overcome?

Entry-level robotics researchers often face challenges such as adapting to rapidly evolving technologies, bridging the gap between theoretical concepts and practical implementation, and working with interdisciplinary teams. Staying current with the latest research papers and industry trends can help you keep up with technological advancements. Collaborating closely with team members from different backgrounds and seeking mentorship from senior researchers can also ease the learning curve and foster professional growth. Embracing a problem-solving mindset and being open to continuous learning are key to overcoming these challenges.

What is the difference between Entry Level Robotics Research vs Robotics Technician?

AspectEntry Level Robotics ResearchRobotics Technician
Required CredentialsBachelor's degree in robotics, engineering, or related fieldAssociate's degree or technical certification in robotics or automation
Work EnvironmentResearch labs, development centers, academic institutionsManufacturing plants, service industries, maintenance facilities
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, automation companies, service providers
Common Search & ComparisonYesYes

Entry Level Robotics Research involves developing and testing robotic systems in research settings, focusing on innovation and design. Robotics Technicians typically maintain, troubleshoot, and install robotic equipment in industrial or commercial environments. While both roles require technical knowledge, Entry Level Robotics Research emphasizes research skills and theoretical understanding, whereas Robotics Technicians focus on practical application and maintenance.

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

The most popular types of Robotics Research jobs are:

What job categories do people searching Entry Level Robotics Research jobs look for?

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Entry Level Robotics Research jobs near you
Infographic showing various Entry Level Robotics Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 4 days ago

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
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
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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