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Associate Responsible Ai Jobs (NOW HIRING)

AI Governance

Pasadena, CA · On-site

$130K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Promote enterprise AI governance awareness, adoption, and responsible AI practices across business ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Promote enterprise AI governance awareness, adoption, and responsible AI practices across business ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Promote enterprise AI governance awareness, adoption, and responsible AI practices across business ...

AI Governance

Pasadena, CA · On-site

$130K/yr

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Promote enterprise AI governance awareness, adoption, and responsible AI practices across business ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Promote enterprise AI governance awareness, adoption, and responsible AI practices across business ...

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Associate Responsible Ai information

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$46K

$108.2K

$172.5K

How much do associate responsible ai jobs pay per year?

As of Jun 12, 2026, the average yearly pay for associate responsible ai in the United States is $108,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are Associate Responsible AI professionals?

Associate Responsible AI professionals are entry- or early-career roles focused on ensuring that artificial intelligence systems are developed and deployed ethically, safely, and fairly. They typically help monitor AI models for bias, assess potential risks, and support teams in implementing responsible AI practices. These professionals often work closely with data scientists, engineers, and policy teams to align AI solutions with ethical guidelines and regulatory standards. Their work is crucial in building trust in AI technologies and minimizing unintended negative impacts.

What are some typical challenges faced by Associate Responsible AI professionals when collaborating with cross-functional teams?

Associate Responsible AI professionals often work closely with diverse teams, including data scientists, engineers, product managers, and legal experts. A common challenge is ensuring that ethical guidelines and fairness considerations are integrated into technical workflows, which may require translating complex AI policies into practical actions. Balancing innovation with regulatory compliance and addressing concerns from stakeholders with varying levels of AI expertise can also be demanding. Clear communication and proactive collaboration are key to overcoming these challenges and fostering responsible AI practices within the organization.

What is the difference between Associate Responsible Ai vs Data Analyst?

AspectAssociate Responsible AiData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of AI/ML conceptsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, research labsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageAI-focused organizations, tech firms, startupsVarious industries utilizing data for decision-making
Common Search & Comparison IntentUnderstanding AI-specific roles and responsibilitiesAnalyzing data to inform business strategies

The Associate Responsible Ai role focuses on developing and managing AI systems, requiring knowledge of AI/ML concepts. In contrast, Data Analysts primarily interpret data to support business decisions. While both roles involve data handling, their focus areas and skill sets differ, with Associate Responsible Ai more centered on AI development and Data Analysts on data interpretation.

What are the key skills and qualifications needed to thrive as an Associate Responsible AI, and why are they important?

To thrive as an Associate Responsible AI, you need a solid foundation in data science, machine learning concepts, and ethical considerations, typically supported by a degree in computer science or a related field. Familiarity with Python, TensorFlow or PyTorch, and tools like Fairness Indicators or interpretability libraries, as well as knowledge of regulatory frameworks, is important. Strong analytical thinking, attention to detail, and the ability to communicate complex topics clearly are essential soft skills. These skills ensure the development and deployment of AI systems that are ethical, transparent, and compliant with industry standards.
More about Associate Responsible Ai jobs
What cities are hiring for Associate Responsible Ai jobs? Cities with the most Associate Responsible Ai job openings:
What are the most commonly searched types of Responsible Ai jobs? The most popular types of Responsible Ai jobs are:
What states have the most Associate Responsible Ai jobs? States with the most job openings for Associate Responsible Ai jobs include:
Infographic showing various Associate Responsible Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $108,160 per year, or $52 per hour.
Senior Data Scientist, Responsible AI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Empower rating

7.6

Company rating: 7.6 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.
***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***
The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners.
What you will do:
  • Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks.
  • Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests.
  • Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices.
  • Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities.
  • Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows.
  • Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review.
  • Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders.
  • Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices.

What you will bring:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
  • 6+ years of professional data science experience.
  • Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments.
  • Strong grounding in experimental design, statistical analysis, and model evaluation methodology.
  • Experience collaborating with engineering and product teams in an agile, iterative delivery environment.
  • Proficiency in Python and SQL for data analysis and evaluation workflows.
    Experience working with modern cloud platforms such as AWS.
  • Strong communication skills and ability to operate effectively in a matrixed team model.

Technology Environment
  • Cloud platforms such as AWS, including managed data and ML services.
  • Data storage and retrieval technologies such as relational and NoSQL databases.
  • Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI.
  • Collaboration and delivery tools supporting agile development and cross-functional workflows.

Security and Risk Awareness
  • Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk.
  • Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities.
  • Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews.

What Will Set You Apart
  • Experience evaluating Generative AI or LLM-based systems.
  • Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques.
  • Familiarity with Responsible AI principles, governance frameworks, or model documentation practices.
  • Experience translating research or experimental methods into repeatable, production-aligned workflows.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.
What we offer you
We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
  • Medical, dental, vision and life insurance
  • Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time - 16 hours per calendar year
  • Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range
$105,700.00 - $149,275.00
The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
Equal opportunity employer • Drug-free workplace
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.
***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***
Job Posting End Date at 12:01 am on:
05-22-2026
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