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Researcher Ai Ethics Jobs (NOW HIRING)

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and ... At least one publication in reputable AI, ethics, or machine learning conferences and journals.

$32 - $40/hr

... agentic AI ethics and safety. Communication & Collaboration * Communicates technology-related ... Collaborates with research and development teams, product management, and strategic analysts to ...

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

... ethics and policy development. · Experience with Azure AI services. · Experience with AWS AI services. Desired Skills: · Evolution of AI policy and/or framework. · Researching, analyzing, and ...

... agentic AI ethics and safety. Communication & Collaboration * Communicates technology-related ... Collaborates with research and development teams, product management, and strategic analysts to ...

... ethics and safety. Communication & Collaboration * Communicates technology-related updates and ... Collaborates with research and development teams, product management, and strategic analysts to ...

AI Architect

Catonsville, MD · Remote

$150K - $200K/yr

... ethics and policy development. · Experience with Azure AI services. · Experience with AWS AI services. Desired Skills: · Evolution of AI policy and/or framework. · Researching, analyzing, and ...

$32 - $40/hr

... ethics and safety. Communication & Collaboration * Communicates technology-related updates and ... Collaborates with research and development teams, product management, and strategic analysts to ...

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Researcher Ai Ethics information

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$30K

$113.1K

$164.5K

How much do researcher ai ethics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for researcher ai ethics in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by researcher AI ethics when working with cross-functional teams?

AI Ethics Researchers often collaborate with data scientists, engineers, product managers, and legal teams to ensure responsible AI development. One of the main challenges is bridging the gap between ethical considerations and technical implementation, as not all team members may have a background in ethics. Effective communication and the ability to translate complex ethical principles into actionable guidelines are crucial. Additionally, balancing organizational goals with ethical standards can require careful negotiation and advocacy within the team.

What is the difference between Researcher Ai Ethics vs Data Scientist?

AspectResearcher Ai EthicsData Scientist
Required CredentialsAdvanced degrees in ethics, philosophy, or AI-related fields; certifications in AI ethicsDegree in computer science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch institutions, tech companies, academia focusing on ethical AI developmentTech companies, finance, healthcare, analyzing data to inform business decisions
Employer & Industry UsagePrimarily in AI development, research labs, and ethical oversight rolesAcross industries for data analysis, predictive modeling, and decision-making support

While both roles involve working with data and AI, Researcher Ai Ethics focuses on ethical considerations, policy, and societal impact, whereas Data Scientists primarily analyze data to derive insights and support business objectives.

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

To thrive as a Researcher in AI Ethics, you need a strong background in computer science, philosophy, or a related field, along with expertise in ethical frameworks and AI principles. Familiarity with programming languages, machine learning tools, and knowledge of regulatory standards or certifications like IEEE or ACM is beneficial. Outstanding analytical thinking, strong communication skills, and the ability to collaborate across disciplines make a candidate stand out. These skills ensure responsible AI development, informed policy recommendations, and effective stakeholder engagement in this rapidly evolving field.

What is a researcher AI ethics?

AI Ethics Researchers are professionals who study the ethical implications of artificial intelligence technologies. Their work involves analyzing how AI systems affect society, ensuring that these technologies are developed and used in ways that are fair, transparent, and aligned with human values. They often collaborate with engineers, policymakers, and organizations to create ethical guidelines, evaluate risks, and develop frameworks to address issues like bias, privacy, and accountability in AI systems.
More about Researcher Ai Ethics jobs
What cities are hiring for Researcher Ai Ethics jobs? Cities with the most Researcher Ai Ethics job openings:
What states have the most Researcher Ai Ethics jobs? States with the most job openings for Researcher Ai Ethics jobs include:
Infographic showing various Researcher Ai Ethics job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Senior Responsible AI Researcher, AI.x

Charles Schwab Inc.

San Francisco, CA • On-site

$220K - $280K/yr

Full-time

Posted 13 days ago


Job description

Your Opportunity
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients.
As a Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You will translate complex and often ambiguous regulatory requirements into actionable technical guardrails, evaluation frameworks, and continuous monitoring benchmarks. In addition to interpreting existing standards, you will advocate for best practices, anticipate where regulations may be heading, and help position Schwab to maintain the trust that is central to our business.
In this highly visible and cross-functional role, you will ensure Schwab's AI systems set industry benchmarks for safety, fairness, and transparency. You'll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate-designing and implementing solutions for problems where established best practices may not yet exist-and to help shape the technical and organizational standards that guide Schwab's AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale.
What You'll Do
  • Design and implement innovative methods for bias detection and develop technical guardrails aligned with responsible AI principles.
  • Collaborate with cross-functional teams-research, product, legal, compliance, and risk-to ensure Schwab's AI systems are safe, fair, and transparent.
  • Build and maintain monitoring systems for AI models, integrating human-in-the-loop and automated metrics for compliance at scale.
  • Influence executive decision-making and regulatory engagement while driving trusted AI solutions for millions of clients.

What you have
Required Qualifications
  • Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field-or equivalent experience.
  • 6+ years in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts).
  • Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability.
  • Experience with responsible generative AI challenges and risk mitigations.
  • Strong analytical and communication skills for technical and non-technical audiences.

Preferred Qualifications
  • 7+ years in AI/ML research and development using Python.
  • Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards.
  • Published research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS).
  • Experience with LLMs and deploying LLM-powered applications.
  • Skills in adversarial testing, red-teaming, and risk assessment for AI deployments.
  • Strong data science fundamentals (SQL, pandas, visualization) and robust pipeline development.
  • Financial domain knowledge is a plus.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.