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Part Time Ai Jobs in Riverside, CA (NOW HIRING)

Nayyar Dental

Hygienist

Hesperia, CA · On-site

$40 - $50/hr

dental hygienist part-time Please reach out for more details. Comprehensive conservative and ... Requirements Proficient in digital tools including AI features, laser therapy. Open to learning.

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SEO and Web/Wordpress Specialist

Irvine, CA · On-site

$30 - $42/hr

IN OFFICE PART-TIME We are seeking an experienced Web Design & SEO Specialist to support the ... Stay current with SEO algorithm updates, WordPress best practices, and AI-driven search trends

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SEO and Web/Wordpress Specialist

Irvine, CA · On-site

$30 - $42/hr

IN OFFICE PART-TIME We are seeking an experienced Web Design & SEO Specialist to support the ... Stay current with SEO algorithm updates, WordPress best practices, and AI-driven search trends

Keck Graduate Institute

Research Assistant

Claremont, CA · On-site

$18.90/hr

This position will perform experiments and AI modeling for the work proposed under the SEED grant ... This is a staff, part-time, temporary, non-exempt position. Hours will vary to meet the needs of ...

COMPASSUS

Home Health Physical Therapist Weekend

Pomona, CA · On-site

$52.95 - $65.40/hr

Riverside County and San Bernardino County Schedule * Part-Time: 24 hours per week * Days: Saturday ... Use AI-supported tools to streamline clinical notes and regain personal time. Work-Life Balance:

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Part Time Ai information

What is a part time AI?

A Part Time AI job involves working with artificial intelligence technologies on a flexible or reduced-hours basis. Responsibilities may include data annotation, machine learning model testing, AI research assistance, or AI-driven customer support. These roles are ideal for individuals looking to gain experience in AI while maintaining a work-life balance. Opportunities are available in various industries, including tech, healthcare, finance, and marketing.

What types of projects and tasks might I work on as a part time AI?

As a Part Time AI Specialist, you may be involved in a variety of projects, such as building and testing machine learning models, performing data preprocessing, or assisting in implementing AI-driven features into existing products. Your daily tasks could include collaborating with engineers and product managers, conducting literature reviews, or troubleshooting code. The flexibility of the role often means you'll focus on specific project deliverables or ongoing support, making time management and setting clear priorities essential. You will typically work as part of a dynamic team, where your contributions will directly impact the success of AI initiatives within the organization.

What are the key skills and qualifications needed to thrive in the part time AI position, and why are they important?

To excel as a Part Time AI Specialist, a foundational understanding of artificial intelligence, machine learning principles, and data analysis is typically required, often supported by academic coursework or practical experience in computer science or related fields. Familiarity with tools such as Python, TensorFlow, PyTorch, and data visualization platforms is highly beneficial, along with relevant certifications like TensorFlow Developer or AI Practitioner. Strong problem-solving, teamwork, and communication skills help individuals effectively interpret requirements and present technical findings to non-technical stakeholders. These abilities are critical for delivering impactful AI solutions within a part-time schedule while maintaining productivity and collaboration.

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 Part Time Ai jobs in Riverside, CA?

For Part Time Ai jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Part Time Ai jobs in Riverside, CA look for?

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Part Time Ai jobs near you
Infographic showing various Part Time Ai job openings in Riverside, CA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Mechanical Engineer, Robotics Hardware - Part-Time Internship

FieldAI

Irvine, CA

Part-time, Internship

Posted 10 days ago

Job description

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.
 
Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. 
 
Mechanical Systems Internship Role: As a Mechanical Engineer Intern on the Hardware 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 Will Get To Do
 
 
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.
 
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.
 
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: Current student pursuing a B.S., M.S., or Ph.D. in Robotics, Mechanical Engineering, Mechatronics, or related field.
  • 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.
$35 - $45 an hour
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
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.
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