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How much do contract ai robotics jobs pay per year?

As of Jun 18, 2026, the average yearly pay for contract ai robotics in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are typical challenges faced by professionals in Contract AI Robotics roles, and how can they be addressed?

Professionals in Contract AI Robotics often encounter challenges such as integrating AI algorithms with existing robotics hardware, managing project timelines with limited resources, and ensuring clear communication among multidisciplinary teams. Navigating varying client requirements and adapting solutions rapidly to changing project scopes are common. Addressing these challenges involves maintaining strong project management practices, fostering collaborative team environments, and staying current with the latest advancements in AI and robotics technologies.

What is the salary of AI robotics?

The salary for AI robotics roles varies depending on experience, location, and specific responsibilities. Entry-level positions typically start around $70,000 annually, while experienced professionals can earn over $120,000 or more. Skills in machine learning, programming, and robotics are often required for higher-paying roles.

What are the key skills and qualifications needed to thrive as a Contract AI Robotics Engineer, and why are they important?

To thrive as a Contract AI Robotics Engineer, you need strong expertise in robotics engineering, artificial intelligence, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with robotics platforms (like ROS), machine learning frameworks (TensorFlow or PyTorch), and often certifications in AI or robotics are highly valued. Strong problem-solving abilities, effective communication, and adaptability make candidates stand out in dynamic project environments. These skills are crucial for designing, implementing, and optimizing robotic systems that meet client needs on tight project timelines.

What are Contract AI Robotics professionals?

Contract AI Robotics professionals are experts who work on a temporary or project-based basis to design, develop, and implement robotics systems that utilize artificial intelligence. They may be responsible for programming robots, integrating AI algorithms, troubleshooting hardware and software, and collaborating with teams to achieve specific automation goals. These specialists are often hired for their technical expertise in robotics, machine learning, computer vision, and related fields, and they typically work for manufacturing companies, research labs, or tech firms on a contractual basis.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, senior machine learning engineers, or AI executives, often requiring advanced degrees, extensive experience, and specialized skills. These positions may involve leadership, strategic planning, and development of cutting-edge AI technologies, and they usually offer compensation packages including salary, bonuses, and stock options. Such roles are rare and usually found in large tech companies or innovative startups with significant AI investments.

What jobs can you get with AI and robotics?

With AI and robotics skills, you can pursue roles such as robotics engineer, AI software developer, automation engineer, machine learning engineer, and control systems engineer. These jobs typically require knowledge of programming languages like Python or C++, experience with robotics platforms, and understanding of AI algorithms and sensors.

What is the difference between Contract Ai Robotics vs Contract Robotics Engineer?

AspectContract Ai RoboticsContract Robotics Engineer
Required CredentialsRelevant engineering degrees, certifications in AI and roboticsEngineering degree, certifications in robotics and automation
Work EnvironmentProject-based, tech companies, research labsDesign, develop, and test robotic systems in industrial or research settings
Employer & Industry UsageTech firms, startups, research institutionsManufacturing, automation, industrial sectors

Both roles involve robotics and automation, but Contract Ai Robotics focuses more on AI integration and software development, while Contract Robotics Engineer emphasizes hardware design and system implementation. Understanding these differences helps professionals target the right opportunities in the robotics industry.

Which 3 jobs will survive AI?

Contract AI robotics professionals such as robotics engineers, AI software developers, and systems integrators are likely to continue thriving as their expertise in designing, programming, and maintaining robotic systems remains essential. These roles require specialized skills, problem-solving, and adaptability to evolving technologies, making them more resistant to automation. Additionally, roles involving oversight, ethical considerations, and complex decision-making are expected to persist alongside AI advancements.
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Contract Ai Robotics jobs near you
AI Expert Robotics - onsite

AI Expert Robotics - onsite

Eccalon LLC

Detroit, MI

Full-time

Posted 21 days ago

Job description

Job Description

The AI Expert – Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications.

Responsibilities

  • Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control
  • Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems
  • Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications
  • Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration
  • Train, evaluate, and deploy ML models in real-world robotic environments
  • Support simulation, testing, validation, and field deployment of AI-enabled robotic systems
  • Analyze system performance and continuously improve autonomy, accuracy, and reliability
  • Document system architectures, models, and technical designs
  • Stay current with emerging AI, ML, and robotics technologies and best practices

Required Qualifications

  • Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field
  • 5+ years of experience in AI/ML and robotics development
  • Strong programming experience in Python and/or C++
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience working with robotic systems, sensors, and actuators
  • Solid understanding of robotics fundamentals including kinematics, controls, and perception
  • Experience deploying AI models to production or real-world environments

Preferred Qualifications

  • Master’s degree or PhD in AI, Robotics, or a related discipline
  • Experience with ROS / ROS2 and robotic middleware
  • Background in autonomous systems, mobile robots, or robotic arms
  • Experience with computer vision, deep learning, or reinforcement learning
  • Familiarity with simulation environments (e.g., Gazebo, Isaac Sim)
  • Experience supporting government, defense, or regulated programs
  • Ability to obtain and maintain a security clearance if required by contract
Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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