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Artificial Intelligence Robotics Jobs (NOW HIRING)

Caterpillar Brazil

Robotics Engineer

Irving, TX · On-site

$125 - $150/hr

## Robotics EngineerApplylocations: Irving, Texastime type: Full timeposted on: Posted Yesterdayjob ... Artificial Intelligence:** Knowledge of the concepts, technologies and methodologies of artificial ...

Judit Inc

Robotics Engineer

New Orleans, LA · On-site

We are focused on advancing the automation and robotics manufacturing systems for military vehicles ... Stay updated with the latest advancements in automation and artificial intelligence. Identify ...

TerraClear

Senior Robotics Engineer

Issaquah, WA · On-site +1

$150/hr

TerraClear applies artificial intelligence, robotics, and world-class mechanical design to solve some of the most data deficient and labor intensive jobs on the farm. These technologies are rapidly ...

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Artificial Intelligence Robotics information

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How much do artificial intelligence robotics jobs pay per year?

As of Sep 9, 2026, the average yearly pay for artificial intelligence robotics in the United States is $122,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What is artificial intelligence robotics?

Artificial intelligence robotics refers to the integration of AI technologies with robotic systems, enabling robots to perceive their environment, make decisions, and perform tasks autonomously or with minimal human intervention. These robots use sensors, machine learning, computer vision, and other AI techniques to interpret data and act accordingly. AI robotics are used in various industries, such as manufacturing, healthcare, logistics, and even personal assistance, to automate complex processes and improve efficiency. As the field advances, AI-powered robots are becoming more adaptable, intelligent, and capable of handling a wider range of tasks.

What are some common challenges faced by professionals working in artificial intelligence robotics, and how can they be addressed?

Professionals in Artificial Intelligence Robotics often encounter challenges such as integrating AI algorithms with hardware, ensuring real-time performance, and maintaining system safety and reliability. Collaboration between software engineers, hardware specialists, and data scientists is crucial to overcome these obstacles. Staying updated with the latest advancements and regularly testing and refining models can help address integration and performance issues. Additionally, fostering a culture of cross-disciplinary teamwork and continuous learning is key to navigating the rapidly evolving landscape of AI robotics.

What are the key skills and qualifications needed to thrive as an artificial intelligence robotics professional, and why are they important?

To thrive in Artificial Intelligence Robotics, you need a solid background in computer science, robotics, and machine learning, typically supported by a relevant degree such as in engineering or computer science. Experience with programming languages like Python or C++, robotics frameworks (e.g., ROS), and familiarity with AI tools and algorithms are essential, while certifications in AI or robotics can be advantageous. Strong problem-solving abilities, creativity, and effective teamwork skills help professionals innovate and integrate complex systems. These competencies are crucial for developing intelligent robotic solutions that address real-world challenges efficiently and reliably.

Is artificial intelligence robotics a good career?

Artificial Intelligence Robotics is a growing field that combines AI and robotics engineering, requiring skills in programming, machine learning, and systems design. It offers opportunities in industries such as manufacturing, healthcare, and autonomous vehicles, with high demand for qualified professionals and competitive salaries. Continuous learning and proficiency with tools like Python and ROS are important for success in this career.

What are the careers in artificial intelligence robotics?

Careers in artificial intelligence robotics include roles such as robotics engineer, AI software developer, machine learning engineer, and automation specialist. These positions typically require skills in programming, machine learning, and robotics systems, and often involve working with tools like Python, ROS, and TensorFlow in research or industrial environments.

What cities are hiring for Artificial Intelligence Robotics jobs?

Cities with the most Artificial Intelligence Robotics job openings:

What states have the most Artificial Intelligence Robotics jobs?

States with the most job openings for Artificial Intelligence Robotics jobs include:

What are popular job titles related to Artificial Intelligence Robotics jobs?

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Artificial Intelligence Robotics jobs near you
Infographic showing various Artificial Intelligence Robotics job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,943 per year, or $59.1 per hour.

Director of Artificial Intelligence

Long Island City, NY

Opentrons
Biotechnology Research and Development • 201 - 500 employees
Learn more about Opentronsexternal

Full-time

Re-posted 19 days ago

Key responsibilities

  • Lead the development and execution of Opentrons' AI roadmap and platform capabilities.

  • Oversee the creation of reliable, scalable AI systems that translate natural language inputs into laboratory workflows and protocols.

  • Manage and collaborate with a team of engineers and developers to build and expand the company's AI- and ML-based product portfolio.

Job description

Job Title: Director of AI

Department: Software 

FLSA Classification: Exempt

Reports to: VP of Engineering

Direct Reports: Yes

Location:  Onsite at Innolabs - Long Island City, NY 
*Must reside in a commutable distance to NYC

About Us
Opentrons Labworks, Inc. is a disruptive life science company leveraging its integrated lab platform to supercharge the pace of innovation in research and healthcare. Through Opentrons Robotics, thousands of institutions are automating lab operations with flexible, easy-to-use liquid handling lab robots. With our own cutting-edge R&D team, biopharma and biotech at large can also benefit from our world-class genome-scale cell engineering solutions.

If you are looking for your next great role, come join us! We provide excellent benefits, competitive compensation, equity packages, and opportunities for growth. Learn more on our Careers Website.

About the Role

We are seeking a Director of AI to lead the next phase of OpentronsAI strategy and platform capabilities. This role will focus on advancing AI-powered experiences across our robotics and software ecosystem, with particular emphasis on generative AI, intelligent workflow design, and production-grade AI systems for laboratory automation.

The role operates at the intersection of AI research, product strategy, and engineering execution, translating emerging AI capabilities into reliable tools used by scientists in real-world laboratory environments. This is a highly cross-functional role centered on technical vision, roadmap development, hands-on collaboration, and long-term platform strategy. The right candidate will not only set the direction but also expect to roll up their sleeves and execute work personally.

The Director of AI will report into the VP of Engineering. 

What You Would Do

Lead AI Product & Platform Strategy:

●        Define and execute Opentrons’ AI roadmap in partnership with software, product management, and engineering leadership

●        Drive the evolution of AI-powered workflow and protocol generation capabilities across the Opentrons platform

●        Balance near-term product delivery with longer-term research and platform investments

●        Identify opportunities to apply generative AI, ML infrastructure, and intelligent automation to improve the scientist experience

Build Production-Grade AI Systems:

●        Lead development of reliable, scalable AI systems that translate natural language inputs into validated laboratory workflows and protocols

●        Establish best practices for evaluation, validation, trust, and performance of AI systems in production environments

●        Partner closely with engineering teams to operationalize AI capabilities across software and robotics products

●        Help shape the technical architecture and infrastructure required to support future AI initiatives

Drive External Innovation & Thought Leadership:

●        Build strategic relationships with academic institutions, industry partners, and the broader AI ecosystem

●        Support collaborative research, technical partnerships, and recruiting pipelines for top AI talent

●        Represent Opentrons externally through conferences, publications, panels, and industry engagement

●        Help position Opentrons as a leader in AI-enabled laboratory automation and intelligent scientific systems

Management

●        Lead & work with a small team of engineers and developers to build Opentrons’ AI- and ML-based product portfolio

●        Structure processes and interaction models with other departments and stakeholders

●        Build and expand the team as needed and funded by company goals

    • Potential expansion into AI driven cyberphysical system

    • Experience building Physical AI team

Who We Are Looking For

Experience:

●        Proven professional experience in artificial intelligence, machine learning, or applied research and engineering environments

●        Experience designing AI systems with a strong focus on reliability, validation, usability, and operational performance

●        Proven track record of delivering AI-powered products from concept through production deployment and ongoing iteration

●        Experience working across multidisciplinary organizations spanning software, hardware, and product development

Knowledge, Skills, & Abilities:

●        Strong expertise in generative AI, foundation models, and modern AI/ML infrastructure

●        Deep familiarity with Python-based AI development ecosystems and production AI workflows

●        Ability to define technical strategy and execute effectively in fast-moving, resource-constrained environments

●        Strong communication and collaboration skills, including the ability to explain complex technical concepts to varied audiences

●        Comfortable operating as both a strategic leader and hands-on technical contributor

Nice to Have:

●        Experience within life sciences, laboratory automation, robotics, or scientific software platforms