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Ai Researcher In Ethics Jobs in Riverside, CA (NOW HIRING)

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

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 ...

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 and implement machine learning deep learning natural language processing and computer vision models.

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Ai Researcher In Ethics information

See Riverside, CA salary details

$31.3K

$118K

$171.6K

How much do ai researcher in ethics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for ai researcher in ethics in Riverside, CA is $117,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $160,700.00 per year, depending on experience, location, and employer.

What is an AI researcher in ethics?

AI researchers in ethics are professionals who study and address the ethical implications of artificial intelligence technologies. They analyze how AI impacts society, including issues like bias, privacy, transparency, and accountability. Their work involves developing guidelines, frameworks, and recommendations to ensure responsible AI development and deployment. These researchers often collaborate with technologists, policymakers, and organizations to promote fairness and prevent harm. Their goal is to make sure AI systems benefit society while minimizing potential risks.

What are the key skills and qualifications needed to thrive as an AI researcher in ethics?

To thrive as an AI Researcher in Ethics, you need a strong background in computer science, philosophy, or related fields, often supported by advanced degrees and a solid understanding of both AI technologies and ethical frameworks. Familiarity with programming languages (like Python), machine learning libraries, and ethical AI assessment tools is typically required. Outstanding analytical thinking, communication skills, and interdisciplinary collaboration make someone stand out in this position. These skills and qualities are crucial to ensure the responsible development and deployment of AI systems that align with societal values and mitigate potential harms.

What are some common challenges faced by AI researchers in ethics when collaborating with technical development teams?

AI Researchers in Ethics often encounter challenges when bridging the gap between ethical considerations and technical implementation. One common issue is translating broad ethical principles into specific, actionable guidelines that developers can apply to algorithms and data practices. Additionally, balancing innovation with responsible AI use requires ongoing dialogue, as priorities may differ between ethics and engineering teams. Effective communication and interdisciplinary collaboration are key to ensuring that ethical standards are integrated throughout the AI development lifecycle.

What is the difference between Ai Researcher In Ethics vs Ai Researcher In Fairness?

AspectAi Researcher In EthicsAi Researcher In Fairness
Required CredentialsAdvanced degrees in AI, ethics, philosophy, or related fieldsAdvanced degrees in AI, machine learning, data science, or related fields
Work EnvironmentResearch labs, academia, industry ethics teamsTech companies, research institutions, industry teams
Industry UsageFocus on ethical implications, societal impact, policyFocus on algorithmic bias, equitable outcomes, fairness metrics
Common Search IntentUnderstanding ethical considerations in AI developmentAddressing bias and fairness in AI systems

While both roles involve AI research, Ai Researcher In Ethics emphasizes ethical principles, societal impact, and policy considerations. In contrast, Ai Researcher In Fairness concentrates on reducing bias and ensuring equitable outcomes in AI systems. Both roles often collaborate but focus on different aspects of responsible AI development.

How do I become an AI researcher in ethics?

To become an AI researcher in ethics, you typically need a strong educational background in computer science, AI, or philosophy, often at the master's or doctoral level. Developing expertise in machine learning, data analysis, and ethical frameworks, along with experience in research environments and familiarity with relevant tools, is essential for this role.

Is an AI researcher in ethics a good career?

An AI researcher in ethics is a growing field focused on developing guidelines and frameworks to ensure responsible AI development. It offers opportunities in academia, industry, and policy, often requiring strong analytical skills and knowledge of AI technologies. The career can be rewarding for those interested in societal impact and ethical considerations of technology.

What job categories do people searching Ai Researcher In Ethics jobs in Riverside, CA look for?

The top searched job categories for Ai Researcher In Ethics jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Researcher In Ethics jobs?

Cities near Riverside, CA with the most Ai Researcher In Ethics job openings:

Ai Researcher In Ethics jobs near you
Infographic showing various Ai Researcher In Ethics job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $117,995 per year, or $56.7 per hour.

AI/GenAI Engineer

Staffingine LLC

Irvine, CA • On-site

Contractor

Re-posted 6 days ago

Job description

Job Title: AI/GenAI Engineer
Job Location: Irvine, CA
Job Type: Contract

Job Description:

  1. Lead and conduct advanced research in AI and Generative AI to develop innovative solutions.
  2. Design and implement machine learning deep learning natural language processing and computer vision models.
  3. Collaborate with cross functional teams to integrate AI research outcomes into practical applications.
  4. Stay updated with the latest trends and breakthroughs in AI or GenAI and related fields.
  5. Analyze complex data sets to extract meaningful insights and improve model accuracy.
  6. Develop prototypes and proof of concept projects to demonstrate AI capabilities.
  7. Document research findings methodologies and results for internal and external dissemination.

Roles and Responsibilities 

  1. Drive the end to end development of AI or GenAI projects aligned with organizational goals.
  2. Mentor junior researchers and engineers in AI or GenAI techniques and best practices.
  3. Evaluate and optimize AI models for performance scalability and robustness.
  4. Collaborate with stakeholders to define AI research objectives and project requirements.
  5. Participate in technical reviews presentations and knowledge sharing sessions.
  6. Ensure compliance with ethical standards and data privacy regulations in AI research.
  7. Support proposal development and contribute to securing research funding or contracts.

Mandatory Skills: AWS Bedrock, Azure Open AI Service, Prompt Engineering & RAG, Vector Databases and Embedding