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Generative Ai Junior Jobs in Riverside, CA (NOW HIRING)

Perficientcorp Inc

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. Design ... Mentor junior researchers and engineers in AI or GenAI techniques and best practices. Evaluate and ...

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

Lead and conduct advanced research in AI and Generative AI to develop innovative solutions ... Mentor junior researchers and engineers in AI or GenAI techniques and best practices. * Evaluate ...

Abode TechZone, LLC

Sr. Database Engineer

Irvine, CA · On-site

$112K - $152K/yr

... Generative AI and RAG-based applications. • Set the Standards: Define and enforce best practices ... Act as a technical mentor for junior engineers, leading deep-dive design reviews and fostering a ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $170K/yr

... generative AI applications across product and operations. * Lead the design of a modern data ... Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence ...

All JobsGenerative Ai JobsGenerative Ai Junior JobsGenerative Ai Junior Jobs in Riverside, CA

Generative Ai Junior information

See Riverside, CA salary details

$8

$28

$49

How much do generative ai junior jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for generative ai junior in Riverside, CA is $28.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $34.62 per hour, depending on experience, location, and employer.

What does a Generative AI Junior do?

A Generative AI Junior assists in developing and implementing artificial intelligence models, particularly those focused on generating content such as text, images, or music. They typically support senior engineers or data scientists by preparing datasets, running experiments, and evaluating model outputs. Their role may also include troubleshooting issues, optimizing model performance, and staying updated with the latest advancements in AI. This position is ideal for individuals starting their careers in AI and interested in hands-on experience with generative models.

What are some common challenges faced by a Generative AI Junior, and how can they be overcome?

As a Generative AI Junior, you may encounter challenges such as staying updated with rapidly evolving AI technologies, understanding complex machine learning frameworks, and managing the quality of generated outputs. Overcoming these hurdles often involves continuous learning through online courses and mentorship, actively participating in code reviews, and collaborating closely with senior AI engineers and data scientists. Building a habit of documenting your experiments and results can also help you track progress and learn from setbacks.

Can I get an AI job with no experience?

Entry-level Generative AI Junior roles often require some foundational knowledge of AI concepts, programming skills in languages like Python, and familiarity with machine learning tools. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining hands-on experience through internships or certifications. Employers may consider motivated learners with strong problem-solving skills and a willingness to learn on the job.

What are the key skills and qualifications needed to thrive as a Generative AI Junior, and why are they important?

To thrive as a Generative AI Junior, you need a solid understanding of machine learning fundamentals, basic programming skills (especially in Python), and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, and experience using version control systems such as Git, are typically expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork are crucial soft skills in this role. These competencies are vital for effectively supporting AI projects, adapting to rapidly evolving technologies, and collaborating within multidisciplinary teams.

What is the difference between Generative Ai Junior vs Data Scientist?

AspectGenerative Ai JuniorData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic understanding of MLBachelor's or higher in CS, Data Science, or related; advanced ML knowledge
Work EnvironmentTech companies, AI startups, R&D teamsData-driven organizations, tech firms, consulting
Employer & Industry UsageAI development, research projects, product teamsData analysis, predictive modeling, business insights

Generative Ai Junior roles focus on assisting in developing AI models that generate content, requiring foundational AI knowledge. Data Scientists analyze data and build models for insights. While both work in AI and data fields, Generative Ai Juniors typically have less experience and focus on generative models, whereas Data Scientists handle broader data analysis and modeling tasks.

Which 3 jobs will survive AI?

Generative AI Junior roles are likely to persist in fields requiring creativity, complex problem-solving, and human interaction, such as healthcare, education, and specialized technical support. These jobs demand emotional intelligence, critical thinking, and adaptability that AI currently cannot fully replicate. Skills in AI tools, continuous learning, and domain expertise will enhance job security in these areas.

Is generative AI a good career?

A career as a Generative AI Junior involves working with machine learning models to create content such as text, images, or audio. It requires skills in programming, data analysis, and understanding AI frameworks like TensorFlow or PyTorch. The field offers growth opportunities due to increasing demand for AI applications across industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often involving advanced skills in deep learning, data analysis, and programming. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or equity compensation. Such salaries are rare and generally found in large tech companies or startups with significant AI investments.
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Generative Ai Junior jobs near you

Lead Gen AI Engineer

Perficientcorp Inc

Irvine, CA • On-site

$55 - $60/hr

Contractor

Re-posted 3 days ago

Job description

Job Title: Lead AI/GenAI Engineer.
Location: Irvine, CA (3 days onsite/week)
Duration: 6 Months 
 
 
Job Summary
Seeking an experienced specialized in AI or GenAI Research with 7 to 11 years of expertise in AI Generative AI ML DL NLP and CV technologies.
 
Job Description 
Lead and conduct advanced research in AI and Generative AI to develop innovative solutions.
Design and implement machine learning deep learning natural language processing and computer vision models.
Collaborate with cross functional teams to integrate AI research outcomes into practical applications.
Stay updated with the latest trends and breakthroughs in AI or GenAI and related fields.
Analyze complex data sets to extract meaningful insights and improve model accuracy.
Develop prototypes and proof of concept projects to demonstrate AI capabilities.
Document research findings methodologies and results for internal and external dissemination.
 
Roles and Responsibilities 
Drive the end to end development of AI or GenAI projects aligned with organizational goals.
Mentor junior researchers and engineers in AI or GenAI techniques and best practices.
Evaluate and optimize AI models for performance scalability and robustness.
Collaborate with stakeholders to define AI research objectives and project requirements.
Participate in technical reviews presentations and knowledge sharing sessions.
Ensure compliance with ethical standards and data privacy regulations in AI research.
Support proposal development and contribute to securing research funding or contracts.
Skills
Mandatory Skills: AI/GenAI Research, AWS AI Services, ML, NLP, Generative AI, Computer Vision