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Ai Resident Jobs (NOW HIRING)

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

$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 ...

Onni Group

Resident Liaison - Overnight

Chicago, IL

$22 - $24.50/hr

The Overnight Resident Liaison responds to a wide variety of resident feedback and delivers a ... AI Use: This role may involve the use of artificial intelligence (AI) tools to support research ...

Onni Group

Resident Liaison - Overnight

Chicago, IL · On-site

$22 - $24.50/hr

The Overnight Resident Liaison responds to a wide variety of resident feedback and delivers a ... AI Use: This role may involve the use of artificial intelligence (AI) tools to support research ...

Polymath AI Labs

AI Research Resident

San Francisco, CA · On-site

... AI agents . This will require 1) identifying failure modes in frontier models, 2) developing rigorous benchmarks that evaluate how well frontier agents perform on complex, realistic tasks requiring ...

Onni Group

Resident Services Coordinator

Seattle, WA · On-site

$112/hr

The Resident Services Coordinator is the face person of our property management team and ensures ... AI Use: This role may involve the use of artificial intelligence (AI) tools to support research ...

Onni Group

Resident Caretaker

Richmond, VA · On-site

$41K - $62K/yr

At the forefront of this role is the chance to build meaningful relationships with residents and ... AI Use: This role may involve the use of artificial intelligence (AI) tools to support research ...

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI ... Strong residents may receive offers to join RadixArk full-time with equity after program completion.

RadixArk

AI Infra Resident (1-Year Program)

Palo Alto, CA

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI ... Strong residents may receive offers to join RadixArk full-time with equity after program completion.

eTeam

Resident Engineer

Columbus, OH

$30 - $38/hr

Resident Engineer Duration: 12 Months Location: Columbus, OH [Onsite] Pay Rate: $30.00 - $38.00/hr ... APs), Marvis AI, edge devices, and the Mist web-based UI, reflecting real-world deployment ...

Bozzuto

Resident Accounts Manager

Roselle, NJ

$65K - $70K/yr

As an Resident Accounts Manager, your primary responsibilities include: * Overseeing property and ... Bozzuto uses AI-enabled tools to enhance candidate sourcing in the recruitment process by helping ...

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How much do ai resident jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for ai resident in the United States is $18.02, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.47 per hour, depending on experience, location, and employer.

What types of projects do AI Residents typically work on, and how do these projects contribute to their professional development?

AI Residents often engage in cutting-edge research projects, such as developing new machine learning algorithms or applying AI to solve real-world problems in fields like healthcare, robotics, or natural language processing. These projects are usually team-based, allowing residents to collaborate closely with senior researchers, engineers, and product teams. This hands-on experience not only deepens technical expertise but also builds a strong foundation for future roles in research or industry. The exposure to interdisciplinary problems and the mentorship provided throughout the residency are key drivers of professional growth.

What are AI Residents?

AI Residents are early-career researchers or professionals who work at leading tech companies or research institutions to advance artificial intelligence through hands-on projects and collaboration with expert teams. These roles are typically designed as fixed-term positions, often lasting one to two years, and provide opportunities to gain practical experience in areas such as machine learning, deep learning, and computer vision. AI Residents contribute to cutting-edge research, publish papers, and sometimes help bridge the gap between academia and industry. The position is ideal for those seeking to build a strong foundation for a future career in AI research or development.

What are the key skills and qualifications needed to thrive as an AI Resident, and why are they important?

To thrive as an AI Resident, you typically need a strong background in computer science, mathematics, and machine learning, often supported by a master's or PhD in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with large-scale data systems are commonly required. Strong problem-solving abilities, collaboration skills, and effective communication help you stand out in multidisciplinary research environments. These skills and qualities are crucial for driving innovative AI research, effectively sharing findings, and contributing to impactful projects.
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What job categories do people searching Ai Resident jobs look for? The top searched job categories for Ai Resident jobs are:
Ai Resident jobs near you
Infographic showing various Ai Resident job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, and 17% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $37,477 per year, or $18 per hour.

AI Resident

RoboForce

Milpitas, CA • On-site

$10K/mo

Full-time

Posted 23 days ago

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
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 work alongside a deeply technical team on core challenges in embodied physical intelligence, including Vision-Language-Action (VLA) models, World Models, World Action Models, and 3D foundation models, as well as the full stack of real-world learning-from efficient data collection systems and simulation to reinforcement learning and deployment on physical robots.
This is a hands-on residency for people who want to do ambitious work with real consequences: building learning systems that connect perception, reasoning, and action in service of capable, deployable robots. What makes this program different is the direct connection between research and real-world deployment. Residents work with actual RoboForce robots, iterate quickly between simulation and physical execution, and contribute to systems designed for real use.
The problems are hard, the standards are high, and the goal is to build systems that matter outside the lab.
Research Focus Areas
As an AI Resident, you may contribute across several core areas:
  • Vision-Language-Action (VLA) models for general-purpose robotic behavior
  • World Models for predictive modeling, planning, and long-horizon decision-making
  • World Action Models for jointly modeling action and environment dynamics
  • Simulation and sim-to-real transfer for scalable training, evaluation, and data generation
  • Reinforcement learning, imitation learning, and policy optimization for embodied agents
  • Multimodal learning across vision, language, proprioception, force, and action
  • Learning systems for manipulation and real-world embodied interaction

What You'll Do
  • Conduct research and build systems for embodied physical intelligence
  • Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and RL
  • Design and run experiments on robotics tasks involving perception, planning, control, and long-horizon behavior
  • Build training and evaluation pipelines for large-scale embodied learning systems
  • Work closely with research and engineering teams to move ideas from prototype to real or simulated robot platforms
  • Explore how multimodal foundation models can improve robot capability in real deployment settings
  • Contribute to technical reports, internal research discussions, and, where appropriate, publications

Basic Qualifications
  • Master's, or PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
  • Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow
  • Experience using AI-assisted coding tools and agentic development workflows to prototype, iterate, and build quickly
  • Ability to implement, debug, and evaluate research ideas in a fast-moving environment
  • Strong engineering judgment, including the ability to validate, refine, and productionize AI-assisted code

Preferred Qualifications
  • Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics
  • Experience training, fine-tuning, or evaluating multimodal or embodied models
  • Experience with World Models, action-conditioned prediction, model-based learning, planning, or control
  • Strong hands-on experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, or similar systems
  • Experience with reinforcement learning, imitation learning, or post-training for robotic policies
  • Experience working with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines
  • Demonstrated technical initiative through research, open-source contributions, or high-impact engineering work

Compensation and Resources
Duration:
  • 3-6 months, full-time

Compensation:
  • $10,000 monthly salary

Benefits:
  • Company-provided lunch and dinner, a fully stocked kitchen, and team events
  • Premium fitness center membership covered by the company

Resources:
Access to large-scale GPU clusters and production-grade infrastructure, with dedicated support to enable fast, uninterrupted experimentation on ambitious robotics and AI workloads

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