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Entry Level Ai Robotics Jobs (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers ... This is an entry-level research role for individuals with less than 3 years of research experience ...

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

San Diego, CA

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Cleveland, OH

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Chicago, IL

$99K - $232K/yr

... Robotics - At least one of the following: Certifications aligned to data engineering, machine ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Robotics information

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

As of Sep 14, 2026, the average yearly pay for entry level ai robotics 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 an entry level AI robotics job?

Entry level AI robotics jobs are positions designed for individuals who are new to the field of artificial intelligence and robotics, often recent graduates or those transitioning from related areas. These roles typically involve assisting in the design, programming, testing, and maintenance of robotic systems that use AI algorithms. Common job titles include Robotics Engineer (Junior), AI Research Assistant, and Robotics Technician. Responsibilities may include data collection, basic coding, testing prototypes, and supporting senior engineers in developing intelligent robotic solutions.

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

To thrive as an Entry Level AI Robotics professional, you need a solid grounding in computer science, robotics engineering, and basic programming languages such as Python or C++, usually backed by a relevant bachelor’s degree. Familiarity with robotics platforms (like ROS), machine learning frameworks (such as TensorFlow), and simulation tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart. These skills and qualifications are vital for developing, testing, and improving intelligent robotic systems in collaborative and fast-evolving technology environments.

What are some common challenges faced by entry level AI robotics professionals during their first year on the job?

Entry-level AI robotics professionals often encounter challenges such as adapting to complex, multidisciplinary projects that blend software, hardware, and AI algorithms. They may also need to quickly learn new programming languages and frameworks specific to robotics, as well as familiarize themselves with real-time debugging and hardware integration. Effective communication and collaboration with cross-functional teams, including mechanical engineers and data scientists, is essential for success. Additionally, transitioning from academic or theoretical knowledge to practical, real-world applications can require a steep learning curve, but most organizations offer mentorship and structured onboarding to support new team members.

What cities are hiring for Entry Level Ai Robotics jobs?

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

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What states have the most Entry Level Ai Robotics jobs?

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Entry Level Ai Robotics jobs near you
Infographic showing various Entry Level Ai Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Research Assistant

San Mateo, CA • On-site

Generalist AI, Inc
See more jobs at Generalist AI, Incexternal

$150K - $200K/yr

Full-time

Re-posted 19 days ago

Job description

About Generalist
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. 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.
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

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