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Generative Ai Project Manager Jobs in Riverside, CA

Turing

Remote AI Analyst

Moreno Valley, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Fontana, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Santa Ana, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Anaheim, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

San Bernardino, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Riverside, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Fontana, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Riverside, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

East Irvine, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Santa Ana, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Moreno Valley, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

San Bernardino, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

Anaheim, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

Turing

Remote AI Analyst

East Irvine, CA · On-site

... generative AI tools is preferred. - Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

CYNET SYSTEMS

AI Scientist / AI Architect

Irvine, CA · On-site

$75 - $80/hr

Hands-on experience with LLM-enabled applications and Generative AI. * Experience building agent ... Experience with CI/CD pipelines and environment management. * Strong understanding of observability ...

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All JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Riverside, CA

Generative Ai Project Manager information

See Riverside, CA salary details

$40.2K

$107.1K

$169K

How much do generative ai project manager jobs pay per year?

As of Jun 25, 2026, the average yearly pay for generative ai project manager in Riverside, CA is $107,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $128,300.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by Generative AI Project Managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What does a Generative AI Project Manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.
What are popular job titles related to Generative Ai Project Manager jobs in Riverside, CA? For Generative Ai Project Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Project Manager jobs in Riverside, CA look for? The top searched job categories for Generative Ai Project Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Generative Ai Project Manager jobs? Cities near Riverside, CA with the most Generative Ai Project Manager job openings:
Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $107,125 per year, or $51.5 per hour.
Remote AI Analyst

Remote AI Analyst

Turing

Moreno Valley, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is required—just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.

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