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Entry Level Ai Jobs in Riverside, CA (NOW HIRING)

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Industrial Property Associate

Irvine, CA · On-site

$28.85 - $31.25/hr

This entry-level positionprovidesan outstanding opportunity to launch your career in ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Support consistent quality standards on proposal and project delivery. * Entry level geological ...

Assistant Geologist

Colton, CA · On-site

$24.50 - $34.50/hr

Support consistent quality standards on proposal and project delivery. * Entry level geological ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

InSite Technician

Diamond Bar, CA · On-site

$16.59 - $33.17/hr

Completing waste stream sampling and profiling.    This position is an entry level role, but ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

InSite Technician

Anaheim, CA · On-site

$16.59 - $33.17/hr

Completing waste stream sampling and profiling.    This position is an entry level role, but ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

InSite Technician

Walnut, CA · On-site

$16.59 - $33.17/hr

Completing waste stream sampling and profiling.    This position is an entry level role, but ... Please be advised that Artificial Intelligence (AI) tools may be used to support certain stages of ...

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Entry Level Ai information

See Riverside, CA salary details

$20.7K

$56.2K

$153.9K

How much do entry level ai jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level ai in Riverside, CA is $56,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,319.00 and $53,988.00 per year, depending on experience, location, and employer.

What is the most entry-level AI job?

An entry-level AI job typically refers to roles such as AI intern, junior data analyst, or AI support technician, which require basic programming skills in languages like Python and familiarity with machine learning concepts. These positions often involve assisting with data preparation, model testing, or supporting AI development teams and may require a relevant degree or certification in computer science or related fields.

Which job to go for a beginner in AI?

Entry-level AI roles typically include positions such as AI intern, junior data analyst, or machine learning assistant. These jobs often require foundational knowledge of programming languages like Python, basic understanding of algorithms, and familiarity with tools such as TensorFlow or scikit-learn. Gaining certifications or completing relevant online courses can improve chances for these roles.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring extensive experience, advanced skills in programming, data analysis, and familiarity with AI tools. These positions usually involve leadership, strategic planning, and innovation in AI development within large organizations or tech companies. Compensation at this level reflects significant expertise, responsibility, and impact on business or technological advancements.

What does the typical day-to-day work look like for an Entry Level AI professional?

As an Entry Level AI professional, your day-to-day tasks often include data cleaning, assisting in the development and testing of machine learning models, and collaborating with more experienced team members on ongoing projects. You may also conduct research to stay current with new AI techniques and help prepare reports or presentations on model performance. Many entry-level roles emphasize learning and mentorship, providing opportunities to receive feedback and continuously develop new technical skills. The position usually involves a mix of independent work and teamwork, offering exposure to real-world AI applications and laying a solid foundation for future career advancement.

How do I start an AI career with no experience?

Starting an entry-level AI career involves building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining hands-on experience through online courses, tutorials, or projects. Earning certifications such as those from Coursera or edX can also enhance your resume and demonstrate your commitment to learning.

What is an Entry Level AI job?

An Entry Level AI job is a starting position in the field of artificial intelligence, typically requiring basic knowledge of machine learning, data science, or software development. These roles involve assisting in data preprocessing, model development, and testing AI algorithms. Common titles include AI Research Assistant, Machine Learning Engineer Intern, or Data Analyst. Employers look for candidates with programming skills (Python, TensorFlow, etc.), strong analytical abilities, and a foundational understanding of AI concepts. Many positions require a degree in computer science, mathematics, or a related field, though some opportunities exist for self-taught individuals with relevant projects or certifications.

What are the key skills and qualifications needed to thrive in the Entry Level Ai position, and why are they important?

To thrive as an Entry Level AI professional, you typically need a foundational understanding of programming (such as Python), basic knowledge of machine learning concepts, and a relevant bachelor’s degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as certifications in data science or AI, are highly valuable. Strong problem-solving abilities, a willingness to learn, and collaboration skills help you excel when working on diverse projects and teams. These skills and qualities are crucial for adapting to the rapidly evolving AI field and contributing effectively to organizational goals.

What are the most commonly searched types of Ai jobs in Riverside, CA? The most popular types of Ai jobs in Riverside, CA are:
What are popular job titles related to Entry Level Ai jobs in Riverside, CA? For Entry Level Ai jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Entry Level Ai jobs? Cities near Riverside, CA with the most Entry Level Ai job openings:
Infographic showing various Entry Level Ai job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $56,162 per year, or $27 per hour.

Embedded Systems Engineer-Federal

FieldAI

Irvine, CA

Full-time

Posted yesterday


Job description

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

About the Job

At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for an Embedded Systems Engineer to support design, implementation, integration, and , deployment of wheeled robotic platforms across both federal and commercial programs

Embedded Systems Role:

As an Embedded Systems Engineer on the Federal Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.

What You Will Get To Do

 1. Compute System Design

  • Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection.

  • Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces.

  • Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements.

2. Compute System Implementation

  • Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, I²C, SPI, CAN).

  • Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components.

  • Systems Configuration: Create configuration files, launch scripts, and firmware update workflows.

  • Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis.

  • Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets.

3. Compute System Production & Servicing

  • Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling.

  • Debug: Support root-cause analysis for boot, connectivity, and throughput issues.

  • Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools.  Monitor compute system performance across CPU, GPU, memory, I/O, and networking.

What You Have

  • Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.

  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.

  • Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs).

  • Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools.

  • Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments.

  • Programming: Proficient in C++ and Python for embedded and application-level development.

  • Communication Protocols: Experience with USB, Ethernet, I²C, SPI, CAN, GMSL, and similar interfaces.

  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.

  • Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers).

  • Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.

What Will Set You Apart

  • Scaling: Experience taking systems from prototype to large scale production.

  • Field Environments: Experience developing systems for harsh field environments.

  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.

  • Systems Level Robotics: Fluency across software, electrical, and mechanical systems.

  • Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms.

This position is for our FieldAI Federal Team.  This team works on projects connected to the U.S. government which requires U.S. Person eligibility.  A U.S. Person as defined by 22 C.F.R  §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.

Compensation

The salary range for this role is $70,000-$300,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time off. 

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.