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Generative Ai No Experience Jobs in Rialto, CA (NOW HIRING)

Newegg

Business System Developer

Ontario, CA · On-site

Implement Generative AI-powered solutions to improve fulfillment workflows, such as order allocation, shipment tracking, and customer experience. * Collaborate with cross-functional teams to design ...

Jobs for Humanity

Speakers/Writers

Moreno Valley, CA

$15 - $60/hr

Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox ... writing experience as a researcher, journalist, technical writer, editor, or similar roles ...

Cccis

Vehicle Inventory Auditor

Ontario, CA · On-site

Paid training - No automotive experience required * Mileage reimbursement * Paid sick time * New ... Candidates are not permitted to use generative AI or automated assistance during the interviews ...

New

Infosys Limited

Full Stack Engineer - OE

Pomona, CA · On-site

$80.30 - $104.39/hr

Experience building AI-enabled applications. * Knowledge of Azure OpenAI, Vertex AI, RAG, and Generative AI solutions. * Experience with enterprise workflow automation and integrations. * Familiarity ...

Uncommon Schools

Special Education Teacher

Riverside, CA · On-site

$56K - $80K/yr

Required Experience: * A demonstrated interest in impacting K-12 students in urban schools and ... Generative AI can be used to refine or organize writing, but not to generate initial responses or ...

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Generative Ai No Experience information

See Rialto, CA salary details

$30.1K

$113.4K

$165K

How much do generative ai no experience jobs pay per year?

As of Sep 3, 2026, the average yearly pay for generative ai no experience in Rialto, CA is $113,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $154,400.00 per year, depending on experience, location, and employer.

What are generative AI jobs for people with no experience?

Generative AI jobs for people with no experience are entry-level roles that involve working with artificial intelligence systems designed to create content, such as text, images, or music. These roles may include positions like AI prompt engineer, data annotator, AI content reviewer, or junior AI research assistant. Many employers provide on-the-job training and look for candidates who are curious, willing to learn, and have basic computer skills. While having a background in computer science or data analysis can help, it's not always required, as many companies are open to training motivated individuals. Building foundational skills through online courses or tutorials can also improve your chances of landing a generative AI job.

What types of entry-level tasks can someone expect in a generative AI role with no prior experience?

In an entry-level Generative AI position, you'll likely start with tasks such as data preprocessing, organizing datasets, and assisting in the evaluation of AI-generated outputs. You may also help with documentation, support the training and fine-tuning of models under supervision, and participate in team meetings to learn about project goals and methodologies. These responsibilities help you build a strong foundation in AI workflows and provide opportunities to collaborate closely with more experienced engineers and researchers.

What are the key skills and qualifications needed to thrive in an entry-level generative AI role, and why are they important?

To thrive in an entry-level Generative AI role, a basic understanding of programming (especially Python), foundational knowledge of machine learning concepts, and a willingness to learn are essential, even without prior direct experience. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (such as AWS or Google Cloud) is highly beneficial, as are completion of online courses or certifications in AI or data science. Strong problem-solving skills, curiosity, effective communication, and adaptability help candidates stand out and learn quickly on the job. These skills and qualities are crucial for keeping pace with rapidly evolving AI technologies and contributing effectively to team projects.

How to start a career in generative AI?

To start a career in generative AI, develop skills in programming languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain understanding of neural networks and deep learning concepts. Building a portfolio of projects and obtaining relevant certifications can also improve job prospects in this field.

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Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pomona, CA • On-site

Other

Re-posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply