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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 ...

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 ...

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 ...

New

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 ...

Office Assistant | On-Site Ontario, California

Ontario, CA · On-site

$17 - $19/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking enthusiastic and service-oriented individuals for an entry-level position. OFFICE ... The company's expertise, combined with the most advanced AI-enabled technology available, sets the ...

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 ...

Financial Analyst - Corporate FP&A

Irvine, CA · On-site

$61K - $98K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... Analyst is an entry-level role within Corporate FP&A with a strong focus on data analytics ... Partner on strategic projects related to the rollout and continuous improvement of AI/ML ...

Showing results 41-60

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 Aug 20, 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 an entry level AI?

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 does an entry level AI do?

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.

What skills and qualifications are needed for an entry level AI?

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.

How do I start an entry level AI career with no experience?

To start an entry level AI career with no experience, focus on building foundational skills in programming languages like Python, learn key concepts such as machine learning and data analysis, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects.

What entry-level jobs are there working with artificial intelligence?

Entry-level jobs working with artificial intelligence include roles such as AI support technician, data analyst, machine learning technician, and AI research assistant. These positions often require basic programming skills, knowledge of machine learning frameworks, and familiarity with data management tools. They provide opportunities to gain experience in AI development, data processing, and algorithm implementation.

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 knowledge of programming, data analysis, and machine learning tools like Python or TensorFlow. These positions often serve as starting points for careers in artificial intelligence and may require a relevant degree or certification but usually do not demand extensive experience.

Which job to go for a beginner in entry level AI?

An entry-level AI role typically involves positions such as AI intern, junior data analyst, or machine learning assistant. These roles often require foundational skills in programming languages like Python, understanding of basic algorithms, and familiarity with tools like TensorFlow or scikit-learn, along with a relevant degree or certification in computer science or data science.

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 job categories do people searching Entry Level Ai jobs in Riverside, CA look for?

The top searched job categories for Entry Level Ai jobs in Riverside, CA 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 August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% In-person job distribution, with an average salary of $56,162 per year, or $27 per hour.

Mechanical Engineer-Federal

FieldAI

Irvine, CA

$70K - $300K/yr

Full-time

Re-posted 11 days ago


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 a Mechanical Engineer to support system and component level design, integration, and validation for our wheeled robotic platforms across both federal and commercial programs.

Mechanical Systems Role: As a Mechanical Engineer on the Federal Team at Field AI, you will contribute to the design and implementation of mechanical systems that house and support sensing and compute platforms in real-world environments. From ruggedized enclosures to thermal management to manufacturability, your work will be critical to ensuring our systems operate reliably in the field. Responsibilities may span the full lifecycle from CAD through production to field support. You will collaborate closely with electrical, compute, and systems engineers to build tightly integrated solutions ready for deployment in challenging field environments.  Additionally while your focus will be on mechanical systems you will likely contribute across all hardware domains.

What You'll Get to Do

1. Mechanical System Design

  • Structures: Design and model mechanical structures including external enclosures, internal compute frames, and load-bearing chassis.

  • Mounts: Design and validate robust sensor mounts, payload attachment points, and mechanical interfaces.

  • Ingress Protection: Implement IP-rated solutions with gaskets, seals, membranes, and coatings to meet water/dust ingress standards.

  • Thermal Management: Incorporate thermal mitigation strategies such as fans, heat sinks, conductive paths, and airflow guides.

  • Mass & Volume Budgets: Ensure adherence to payload constraints, including tight volumetric envelopes and weight limitations.

2. Mechanical System Implementation

  • CAD & Simulation: Build detailed SolidWorks CAD assemblies. Run FEA and thermal simulations to validate strength, durability, and heat dissipation.

  • Material & Component Selection: Choose materials and components to meet mass, strength, thermal, and manufacturability constraints.

  • Design for Production: Apply DFM, DFA, DFS principles throughout the design lifecycle.

  • System Testing: Conduct mechanical load testing (shock, vibration), thermal validation, ingress tests, and sensor alignment assessments.

  • Prototyping: Rapidly iterate on prototypes for fit checks, thermal evaluations, and integration trials.

  • Documentation & Budgets: Generate mechanical drawings, GD&T annotations, BOMs, and assembly instructions for fabrication and QA. Manage weight, volume, and thermal budgets.

3. Mechanical System Production & Servicing

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

  • Debug: Investigate mechanical failures, deformation, and environmental weaknesses during testing and deployments.

  • Monitor: Develop protocols for monitoring the system mechanical health and loads.

What You Have

  • Education: B.S., M.S., or Ph.D. in Mechanical Engineering, Mechatronics, or related field.

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

  • CAD Expertise: Proficient with SolidWorks or equivalent mechanical CAD platforms.

  • Thermal & Structural Analysis: Familiarity with FEA and thermal modeling tools.

  • Field-Ready Design: Experience designing hardware that survives vibration, shock, thermal cycling, and environmental exposure.

  • Manufacturing Knowledge: Experience designing for CNC, sheet metal, additive manufacturing, and assembly workflows.

  • Mechanical Systems Integration: Experience working across teams to integrate mechanical systems with compute, sensors, and power electronics.

  • Lab Skills: Comfort with mechanical debugging, thermal test setups, vibration tables, and ingress testing.

  • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems.

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 mechanical, electrical, and software systems.

  • Reliability Engineering: Experience designing to meet IP ratings, MIL-STD, or equivalent ruggedness standards.

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 Irvine, 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.