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Entry Level Ai Robotics Jobs (NOW HIRING)

Aerotek

VR Data Collector(Entry Level)

San Jose, CA

$28 - $33/hr

Guide the robot through human-like motions using sensor equipment. * Collect high-quality motion data for AI model training. * Identify and flag issues or bugs during data collection. * Share daily ...

ROBOT

Service Desk Robotics Engineer

San Francisco, CA · On-site

... AI, Hardware, Manufacturing, Platforms, Operations, Data, etc). In the same way, present all the ... Junior/entry level. It could be ungraduated (last semesters) Department Robot.com Role Service Desk ...

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How much do entry level ai robotics jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Robotics professional, and why are they important?

To thrive as an Entry Level AI Robotics professional, you need a solid grounding in computer science, robotics engineering, and basic programming languages such as Python or C++, usually backed by a relevant bachelor’s degree. Familiarity with robotics platforms (like ROS), machine learning frameworks (such as TensorFlow), and simulation tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart. These skills and qualifications are vital for developing, testing, and improving intelligent robotic systems in collaborative and fast-evolving technology environments.

What are some common challenges faced by entry-level AI robotics professionals during their first year on the job?

Entry-level AI robotics professionals often encounter challenges such as adapting to complex, multidisciplinary projects that blend software, hardware, and AI algorithms. They may also need to quickly learn new programming languages and frameworks specific to robotics, as well as familiarize themselves with real-time debugging and hardware integration. Effective communication and collaboration with cross-functional teams, including mechanical engineers and data scientists, is essential for success. Additionally, transitioning from academic or theoretical knowledge to practical, real-world applications can require a steep learning curve, but most organizations offer mentorship and structured onboarding to support new team members.

What are entry level AI robotics jobs?

Entry level AI robotics jobs are positions designed for individuals who are new to the field of artificial intelligence and robotics, often recent graduates or those transitioning from related areas. These roles typically involve assisting in the design, programming, testing, and maintenance of robotic systems that use AI algorithms. Common job titles include Robotics Engineer (Junior), AI Research Assistant, and Robotics Technician. Responsibilities may include data collection, basic coding, testing prototypes, and supporting senior engineers in developing intelligent robotic solutions.
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Entry Level Ai Robotics jobs near you
Robotics & Innovation Engineer

Robotics & Innovation Engineer

Gedeon GRC Consulting

Newark, NJ • On-site, Remote

$120K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Gedeon GRC Consulting is looking for a Robotics & Innovation Engineer to join our firm! The Robotics & Innovation Engineer would support the development and deployment of emerging technologies across the firm's engineering and construction workflows. This role focuses on advancing robotics, sensing systems, data pipelines, and intelligent automation to improve how infrastructure is inspected, analyzed, and delivered. The position operates at the intersection of research and field application, translating new technologies into scalable solutions that enhance productivity, safety, and decision-making across projects.
SALARY RANGE:
$120,000 - $135,000 annually, Pay commensurate with experience.
LOCATION:
Options of Remote, Hybrid (local to the NYC Metro Area) or in office at our Newark, NJ location.

TRAVEL:
This position requires travel (less than 50%).

BENEFITS:
90% Company contribution towards all Health Insurance Plans, 401K Match, PTO, Bonus Potential, 10 Paid Company Holidays, and much more.
RESPONSIBILITIES:
❖ Support the design, development, and evaluation of robotic and sensor-based systems for applications such as inspection, surveying, mapping, and construction monitoring.
❖ Develop and implement data processing and analysis workflows to extract actionable insights from imagery, sensor data, and field-collected datasets.
❖ Contribute to the development of automation and AI/ML solutions that improve engineering processes and operational efficiency.
❖ Assist in integrating emerging technologies (e.g., robotics, computer vision, geospatial systems, digital twins) into existing company workflows.
❖ Support field deployment, testing, and validation of new tools and systems in real-world project environments.
❖ Collaborate with internal teams to identify opportunities for innovation, process improvement, and technology adoption.
❖ Maintain and improve existing research and deployed systems based on performance, feedback, and evolving project needs.
❖ Contribute to research initiatives, pilot programs, and grant-funded projects, including prototyping and reporting.
❖ Prepare visualizations, models, and reports to communicate findings and support decision-making.


QUALIFICATIONS:
❖ Bachelor's or Master's degree in Engineering, Computer Science, Robotics, or a related field and 5+ or 2+ years professional experience respectively.
❖ Advanced degree (e.g., PhD) with internship, academic project, co-op, or entry-level experience involving programming, process automation, workflow improvement, dataset development, or business technology implementation is preferred but not required.
❖ Experience working on applied technology, research, or field-based engineering projects preferred.
❖ US Driver's License.
❖ FAA Part 107 License is preferred.
❖ Experience or strong interest in robotics systems and field-deployed technologies.
❖ Experience or strong interest in data analysis, automation, or applied AI/ML.
❖ Experience or strong interest in engineering workflows within AEC, infrastructure, or related industries.
❖ Proficiency in Python or similar programming languages.
❖ Proficiency in data processing and visualization tools.
❖ Familiarity with computer vision or image processing.
❖ Familiarity with sensor data integration (e.g., LiDAR, thermal, geospatial data).
❖ Familiarity with robotics software stacks (e.g., ROS or equivalent).
❖ Familiarity with BIM, CAD, or geospatial platforms.
❖ Strong problem-solving and analytical skills.
❖ Ability to work across disciplines and translate technical concepts into practical applications.
❖ Effective communication and collaboration skills.