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Ai Residency Jobs (NOW HIRING)

1X Technologies AS

AI Residency

San Carlos, CA · On-site

$10K/mo

About the Program The AI Residency is a fixed-term position (3-6 months) for researchers and engineers who want to work on high-impact AI and robotics problems alongside full-time 1X team members.

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

The AI Residency Program The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. Residents will ...

RoboForce

AI Resident

Milpitas, CA · On-site

$10K/mo

The AI Residency Program The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. Residents will ...

Clerk AI

Growth Marketer

San Francisco, CA · Hybrid

$21.25/hr

We're Silicon Valley-based entrepreneurs who have sold companies, gone through the exclusive HF0 AI residency, having previously built teams at Lucasfilm, Samsung, Netflix, DocuSign, and Series B ...

Clerk AI

Customer Support Engineer

San Francisco, CA · Hybrid

We're Silicon Valley-based entrepreneurs who have sold companies, gone through the exclusive HF0 AI residency, having previously built teams at Lucasfilms, Samsung, Netflix, DocuSign, and Series B ...

Clerk AI

Product Marketer

San Francisco, CA

$120K - $180K/yr

We're Silicon Valley-based entrepreneurs who have sold companies, gone through the exclusive HF0 AI residency, having previously built teams at Lucasfilm, Samsung, Netflix, DocuSign, and Series B ...

The Browser Company

AI Prototyper Residency

$100 - $150/hr

About the role We're looking for an AI Prototyper to explore how frontier AI capabilities can shape ... month Residency contract-to-hire position. Hourly pay range is $100-$150 per hour, based on ...

New

adam.ai

Residency (Summer 2026)

San Francisco, CA · On-site

... AI startup. Residents at Adam have the same autonomy as full time engineers and researchers. You'll have significant ownership and responsibility from day one, with your impact limited only by your ...

Leland

Dental Residency Coach

$19 - $24.50/hr

We help businesses become AI-native through training, hiring, and infrastructure. Since our ... We're seeking an experienced Dental Residency Coach to work with students navigating the dental ...

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Ai Residency information

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$64K

$96.7K

$117K

How much do ai residency jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai residency in the United States is $96,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $111,500.00 per year, depending on experience, location, and employer.

What is an AI residency program?

An AI residency program is a structured, typically year-long training initiative designed to help individuals gain hands-on experience in artificial intelligence research and development. Residents work closely with mentors at leading research institutions or technology companies, contributing to real-world projects in areas like machine learning, computer vision, or natural language processing. These programs are aimed at early-career researchers, recent graduates, or professionals transitioning into AI, providing mentorship, access to resources, and opportunities to publish or present research. The goal is to bridge the gap between academic learning and professional AI research roles.

What are the key skills and qualifications needed to thrive as an AI resident?

To thrive as an AI Resident, you need a strong background in computer science, mathematics, and machine learning, often supported by an advanced degree (Master’s or PhD) in a relevant field. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with research tools are typically expected. Strong problem-solving abilities, collaboration, and effective communication help you contribute to innovative research and work well within interdisciplinary teams. These skills are crucial for advancing AI research, building novel solutions, and driving impactful results in a highly competitive environment.

What are some common challenges faced by AI residents during their residency programs?

AI residents often encounter the challenge of balancing rigorous research with practical application, as they are expected to contribute to ongoing projects while also pursuing independent research. The fast-paced nature of advancements in AI means residents must continuously stay up-to-date with the latest techniques and literature. Additionally, collaborating effectively with cross-disciplinary teams—such as software engineers, data scientists, and domain experts—can be demanding but is essential for impactful outcomes. Time management and adapting to evolving project goals are also key skills that residents typically develop during their program.

What is the difference between Ai Residency vs Data Scientist?

AspectAi ResidencyData Scientist
Required CredentialsTypically a master's or PhD in AI, Machine Learning, or related fieldsOften a bachelor's or master's in Data Science, Statistics, or Computer Science
Work EnvironmentResearch-focused, often in tech companies or research labsBusiness-oriented, working with data analysis and modeling in various industries
Employer & Industry UsagePrimarily in tech giants, research institutions, startupsAcross finance, healthcare, tech, retail, and more

Ai Residency programs are research-focused roles designed to develop AI expertise, often in a structured, immersive environment. Data Scientists work on analyzing data, building models, and deriving insights for business decisions. While both roles require strong technical skills, Ai Residencies emphasize research and innovation, whereas Data Scientists focus on applied data analysis in diverse industries.

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Ai Residency jobs near you
Infographic showing various Ai Residency job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $96,670 per year, or $46.5 per hour.

AI Residency

1X Technologies AS

San Carlos, CA • On-site

$10K/mo

Temporary

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About 1X
We're building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it's not.
To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you're inspired by this, you'll thrive here. We've been at this since 2014 and we're at the point where the hard problems are behind us and the hard work is in front of us.
NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We're not demoing it - we're shipping it. We're excited to meet you, if this excites you.
If you've spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We're scaling, we're hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.
About the Program
The AI Residency is a fixed-term position (3-6 months) for researchers and engineers who want to work on high-impact AI and robotics problems alongside full-time 1X team members. Residents work on real projects-simulation infrastructure, data management, model evaluation, and capability deployment-that ship to production robots in the field. This is not an internship where you build toy demos: you will contribute meaningfully to the systems that make NEO smarter, and your work will reach hardware in homes and warehouses.
Your Charter
Accelerate 1X's AI development by applying cutting-edge research to real product problems, whether that means building evaluation infrastructure, scaling data pipelines, improving the data engine, or deploying new capabilities to robots at customer sites. Residents are embedded in the team and treated as full contributors: you will own projects, ship code, and have direct impact on deployed robotic systems within your residency term.
Key Outcomes
  • Apply research-level ideas to production impact translating techniques from the AI and robotics literature into capabilities or infrastructure that ships on real robots
  • Build or meaningfully improve components of the data engine: front-end tooling for log review and labeling, back-end systems for data cleaning, and evaluation benchmarks for open-source models on robotics tasks
  • Scale solutions using fleet data contributing to pipelines and systems that improve with more robot experience, not just more hand-labeled data
  • Deploy at least one new capability or infrastructure improvement to robots at customer sites before the residency term ends

Key Competencies
  • Fast, independent learner picking up new codebases, tools, and problem domains quickly; identifies the highest-leverage contribution and starts making progress without waiting for a detailed spec
  • Research meets engineering reading a paper and implementing its key ideas, but also writes tested, maintainable code that others can build on; comfortable in both modes
  • Prototype-to-production instinct moving quickly from idea to working prototype, then cares enough about quality to bring it the rest of the way to something deployable
  • Collaborative contributor working effectively alongside full-time engineers and researchers, communicates progress and blockers clearly, and contributes to the team's velocity as well as their own projects

Minimum Requirements
  • Bachelor's degree in Computer Science or equivalent; graduate students in ML or robotics strongly preferred
  • Proficiency with large Python codebases, experience writing tests, and familiarity with deep learning frameworks (PyTorch, TensorFlow, or JAX)
  • Demonstrated ability to prototype ideas independently and rapidly-a portfolio of projects, research, or open-source work is a strong signal
  • Experience training large-scale ML models (visual foundation models, LLMs, generative models) or publishing at top ML conferences

Preferred Skills
  • Experience with systems programming and scalable data infrastructure
  • Familiarity with robotics simulation platforms (Isaac Sim, MuJoCo) or robot middleware (ROS)
  • Prior research or engineering experience at the intersection of AI and physical systems

Benefits & Compensation
  • $10,000 per month
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays

Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.

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