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Ai Generalist Jobs (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

... 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 ...

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AI Policy Generalist - Seattle Onsite

Seattle, WA · On-site

$62 - $76/hr

About the Role As an AI Policy Generalist, you will turn complex customer policies into consistent, well-reasoned evaluations of AI model behavior. You will read user requests, model responses, and ...

NextGenEnergyJobs

People Generalist

Lehi, UT · On-site

$60 - $85/hr

* Provide HR generalist and organizational support on a variety of People items. * Provide support ... Demonstrate proficiency in utilizing AI tools to enhance productivity and streamline workflows, or ...

Generalist AI, Inc

Electrical Engineer

San Mateo, CA · On-site

$200K - $350K/yr

... 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 ...

Skyfire | AI

Human Resources Generalist

Madison, AL · On-site

$65K - $75K/yr

Skyfire AI is transforming public safety through autonomous drone technology. We partner with ... Who You Are The Human Resources Generalist is responsible for providing comprehensive HR support ...

Generalist AI, Inc

Data Partnerships

San Mateo, CA · On-site

... 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 ...

Generalist AI, Inc

Executive Assistant

San Mateo, CA · On-site

... 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 ...

Socket.dev

People Operations Generalist

Seattle, WA · On-site

$100 - $150/hr

Role Summary Overland AI is at an exciting inflection point.We'regrowing quickly, adding new ... We'relooking for a People Operations Generalist to join as the second hire on our People team and ...

Hire Hangar

Generalist Software Engineer

San Francisco, CA · On-site

$8.0K - $10K/mo

We are seeking a Generalist Software Engineer to join the founding team of a fast-moving AI video infrastructure startup. The company's first product turns prompts and documents into whiteboard-style ...

Hive

People Operations Generalist

San Francisco, CA · On-site

$75K - $100K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... As a People Operations Generalist, you will have a front row seat and a direct impact on the next ...

Generalist

Research Scientist: Pretraining

San Mateo, CA · On-site

$120 - $180/hr

... 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 ...

Generalist

Mechanical Engineer

Somerville, MA · On-site

$120 - $180/hr

... 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 ...

Generalist

Research Scientist: Pretraining

Somerville, MA · On-site

$120 - $180/hr

... 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 ...

Hive

People Operations Generalist

San Francisco, CA · On-site

$75K - $100K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... As a People Operations Generalist, you will have a front row seat and a direct impact on the next ...

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Ai Generalist information

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$31K

$91.5K

$127.5K

How much do ai generalist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai generalist in the United States is $91,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $127,000.00 per year, depending on experience, location, and employer.

What is an AI generalist?

AI Generalists are professionals with broad expertise across multiple areas of artificial intelligence, including machine learning, natural language processing, computer vision, and data analytics. Unlike specialists who focus deeply on one domain, AI Generalists are skilled in integrating various AI techniques to solve a wide range of problems. They often work on end-to-end solutions, from data collection and preprocessing to model development and deployment. This versatility makes them valuable in organizations seeking to implement AI across different business functions.

What skills and qualifications are needed to thrive as an AI generalist?

To excel as an AI Generalist, you need a broad understanding of machine learning concepts, data analysis, programming (typically in Python), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and cloud computing platforms is commonly required, along with knowledge of version control systems such as Git. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for bridging interdisciplinary gaps and managing complex projects. These competencies enable AI Generalists to design, implement, and communicate impactful AI solutions across various domains.

How does an AI generalist typically collaborate with specialists on cross-functional projects?

AI Generalists frequently work alongside specialists such as data engineers, machine learning researchers, and software developers. Their broad knowledge allows them to bridge communication gaps, translate business requirements into technical solutions, and integrate components built by different teams. This collaborative environment often means AI Generalists are responsible for coordinating project phases, ensuring smooth handoffs, and adapting to rapidly changing priorities. Active communication and flexibility are key to thriving in such roles.

What is the difference between Ai Generalist vs Data Scientist?

AspectAi GeneralistData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning and programmingDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentTech companies, startups, research labs focusing on AI projectsData-driven organizations across various industries analyzing large datasets
Employer & Industry UsageAI development teams, product companies, research institutionsFinance, healthcare, tech firms, and any data-centric industry
Common Search & Comparison IntentUnderstanding roles in AI development, skills required, career pathsAnalyzing data, building models, deriving insights from data

While both roles involve technical expertise, an Ai Generalist focuses on applying AI techniques across projects, whereas a Data Scientist specializes in analyzing data and building predictive models. The roles often overlap but differ in primary focus and skill sets.

Can I get an AI Generalist job with no experience?

While some entry-level AI Generalist roles may accept candidates with limited experience, most positions require a strong foundation in machine learning, programming skills, and familiarity with AI tools. Gaining relevant knowledge through online courses, certifications, or personal projects can improve your chances of qualifying for such roles.

What does an AI generalist do?

An AI generalist is a professional who works across various aspects of artificial intelligence, including data analysis, model development, and deployment. They often have skills in machine learning, programming, and data management, enabling them to adapt to different AI projects and tools. Their role involves integrating AI solutions into diverse applications and ensuring their effective operation.
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Ai Generalist jobs near you
Infographic showing various Ai Generalist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $91,461 per year, or $44 per hour.

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 10 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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