Work is seeking a Responsible AI Engineer to design, implement, and operationalize responsible AI practices across the AI development lifecycle. The role focuses on improving AI system safety ...
Work is seeking a Responsible AI Engineer to design, implement, and operationalize responsible AI practices across the AI development lifecycle. The role focuses on improving AI system safety ...
Responsible AI Specialist
Manhattan, NY · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Our Responsible AI strategy will enable us to embed responsibility into all of Accenture's data and AI activities. We're developing and deploying differentiated IP and Responsible AI solutions with ...
Responsible AI Specialist
Manhattan, NY · On-site
Medical
Dental
Vision
Life
Retirement
PTO
Our Responsible AI strategy will enable us to embed responsibility into all of Accenture's data and AI activities. We're developing and deploying differentiated IP and Responsible AI solutions with ...
SDE, Responsible AI
Seattle, WA · On-site
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
SDE, Responsible AI
Seattle, WA · On-site
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
SDE, Responsible AI
Seattle, WA · On-site
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
SDE, Responsible AI
Seattle, WA · On-site
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Responsible AI Lead
Austin, TX · On-site
Job Summary The Responsible AI Lead will establish and operationalize the enterprise's approach to Responsible AI and AI governance and deployment across internally built and third-party AI solutions.
Responsible AI Lead
Austin, TX · On-site
Job Summary The Responsible AI Lead will establish and operationalize the enterprise's approach to Responsible AI and AI governance and deployment across internally built and third-party AI solutions.
Responsible AI Manager
Mountain View, CA · On-site
$237K/yr
Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for the position of Responsible AI Manager in Mountain View, CA, and the job duties are as follows:
Responsible AI Manager
Mountain View, CA · On-site
$237K/yr
Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for the position of Responsible AI Manager in Mountain View, CA, and the job duties are as follows:
SDE, Responsible AI
Seattle, WA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
SDE, Responsible AI
Seattle, WA · On-site
Medical
Dental
Vision
Life
Retirement
PTO
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Responsible AI Manager
Mountain View, CA · On-site
$237K/yr
Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for the position of Responsible AI Manager in Mountain View, CA, and the job duties are as follows:
Responsible AI Manager
Mountain View, CA · On-site
$237K/yr
Responsible AI Manager (Accenture LLP; Mountain View, CA): Accenture LLP has multiple openings for the position of Responsible AI Manager in Mountain View, CA, and the job duties are as follows:
AI Safety & Responsible AI Lead Location: Jersey City, New Jersey (Onsite) Responsible AI / AI Governance / Model Risk / Ethical AI Level Governance Lead / Senior Manager or Director-level Specialist ...
AI Safety & Responsible AI Lead Location: Jersey City, New Jersey (Onsite) Responsible AI / AI Governance / Model Risk / Ethical AI Level Governance Lead / Senior Manager or Director-level Specialist ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
VP Responsible AI
Minto, AK · On-site
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
VP Responsible AI
Minto, AK · On-site
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Head, Responsible AI & Governance
New York, NY · On-site
$150K - $261K/yr
Medical
Life
Retirement
Develops standards for responsible and appropriate use of AI. * Establishes requirements for managing risk, transparency, and accountability. * Tracks and reports key performance indicators (KPIs ...
Head, Responsible AI & Governance
New York, NY · On-site
$150K - $261K/yr
Medical
Life
Retirement
Develops standards for responsible and appropriate use of AI. * Establishes requirements for managing risk, transparency, and accountability. * Tracks and reports key performance indicators (KPIs ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
WI · On-site
$180 - $230/hr
ESSENTIAL FUNCTIONS and RESPONSIBILITIES** · Own Sedgwick's enterprise Responsible AI and AI Governance strategy, operating model, roadmap, and maturity evolution. · Serve as the executive business ...
WI · On-site
$180 - $230/hr
ESSENTIAL FUNCTIONS and RESPONSIBILITIES** · Own Sedgwick's enterprise Responsible AI and AI Governance strategy, operating model, roadmap, and maturity evolution. · Serve as the executive business ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies. Own the enterprise AI inventory, use-case registry, model registry, agent ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
Medical
Dental
Vision
Life
Retirement
PTO
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
Medical
Dental
Vision
Life
Retirement
PTO
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Sr. SDE, Responsible AI
Seattle, WA · On-site
$139K - $183K/yr
The Amazon Responsible AI (RAI) team is building the systems that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software ...
Responsible Ai information
See salary details
$29.57 - $33.87
4% of jobs
$33.87 - $38.18
9% of jobs
$40.33 is the 25th percentile. Wages below this are outliers.
$38.18 - $42.48
24% of jobs
The median wage is $45.93 / hr.
$42.48 - $46.79
16% of jobs
$46.79 - $51.09
15% of jobs
$53.89 is the 75th percentile. Wages above this are outliers.
$51.09 - $55.40
11% of jobs
$55.40 - $59.70
13% of jobs
$59.70 - $64.01
3% of jobs
$64.01 - $68.31
1% of jobs
$68.31 - $72.62
1% of jobs
$72.62 - $76.92
3% of jobs
$29
$49
$76
How much do responsible ai jobs pay per hour?
As of Aug 18, 2026, the average hourly pay for responsible ai in the United States is $49.18, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $55.77 per hour, depending on experience, location, and employer.
What is a Responsible AI?
A Responsible AI job focuses on ensuring that artificial intelligence systems are ethical, transparent, fair, and aligned with human values. Professionals in this role work on bias mitigation, compliance with AI regulations, ethical AI design, and responsible deployment practices. They collaborate with engineers, policymakers, and researchers to develop guidelines that minimize harm and maximize AI’s societal benefits.
What are the key skills and qualifications needed to thrive in the Responsible AI position, and why are they important?
To succeed as a Responsible AI professional, you need expertise in machine learning, data science, and ethical AI frameworks, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, Explainable AI platforms, and certifications like IBM AI Ethics or Microsoft Responsible AI are valuable assets. Strong communication, critical thinking, and stakeholder engagement skills set top performers apart in this role. These skills ensure the development and deployment of AI systems that are trustworthy, transparent, and aligned with ethical standards.
What are the typical challenges faced by a Responsible AI professional in their daily work?
Responsible AI professionals often navigate complex ethical dilemmas, such as balancing innovation with fairness, transparency, and privacy concerns. They regularly collaborate with data scientists, legal teams, and business stakeholders to ensure AI solutions comply with regulatory and societal expectations. Another common challenge involves identifying and mitigating algorithmic biases within training data or model outcomes, which requires both technical acumen and ethical reasoning. Overcoming these challenges is crucial to building AI systems that are both effective and socially responsible.
More about Responsible Ai jobs
What cities are hiring for Responsible Ai jobs?
Cities with the most 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 Responsible Ai jobs?
States with the most job openings for Responsible Ai jobs include:
What job categories do people searching Responsible Ai jobs look for?
The top searched job categories for Responsible Ai jobs are:
Full-time
Re-posted 12 days ago
Job description
Job Summary:
OVA.Work is seeking a Responsible AI Engineer to design, implement, and operationalize responsible AI practices across the AI development lifecycle. The role focuses on improving AI system safety, fairness, transparency, and compliance while collaborating with various teams to ensure trustworthy and ethical AI solutions.
Responsibilities:
• Design and implement Responsible AI frameworks, processes, and engineering practices.
• Evaluate AI and machine learning systems for fairness, bias, transparency, safety, and reliability.
• Develop methods to detect and mitigate algorithmic bias and unintended model behavior.
• Perform AI risk assessments, model evaluations, and impact assessments.
• Implement explainability and interpretability techniques for machine learning models.
• Develop testing frameworks for AI robustness, adversarial risks, and model safety.
• Evaluate Large Language Models (LLMs) and Generative AI applications for hallucinations, harmful outputs, security risks, and reliability issues.
• Build AI safety guardrails, content filtering, and responsible generation controls.
• Conduct red teaming, adversarial testing, and failure analysis for AI systems.
• Establish monitoring practices for model drift, fairness, performance, and compliance.
• Collaborate with engineering teams to integrate Responsible AI controls into MLOps pipelines.
• Create documentation including model cards, data sheets, risk assessments, and AI governance reports.
• Stay updated on AI regulations, industry standards, and emerging Responsible AI practices.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Ethics in Technology, Cybersecurity, or a related field.
• 3+ years of experience in machine learning engineering, AI evaluation, AI governance, data science, or related fields.
• Strong understanding of machine learning algorithms, AI lifecycle management, and model evaluation.
• Experience with Python and machine learning frameworks.
• Knowledge of Responsible AI concepts including fairness, explainability, transparency, privacy, and safety.
• Experience analyzing AI model performance and identifying risks or failure patterns.
• Strong analytical, problem-solving, and documentation skills.
Preferred:
• Experience evaluating Large Language Models (LLMs), Generative AI, and AI agents.
• Experience with AI safety testing, red teaming, and adversarial machine learning.
• Knowledge of fairness and explainability tools such as IBM AI Fairness 360, Fairlearn, SHAP, LIME, or InterpretML.
• Experience with AI evaluation frameworks such as DeepEval, Ragas, LangSmith, Promptfoo, or OpenAI Evals.
• Familiarity with AI governance frameworks and regulatory requirements.
• Experience implementing Responsible AI practices within MLOps pipelines.
• Knowledge of privacy-preserving machine learning techniques.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
OVA.Work is seeking a Responsible AI Engineer to design, implement, and operationalize responsible AI practices across the AI development lifecycle. The role focuses on improving AI system safety, fairness, transparency, and compliance while collaborating with various teams to ensure trustworthy and ethical AI solutions.
Responsibilities:
• Design and implement Responsible AI frameworks, processes, and engineering practices.
• Evaluate AI and machine learning systems for fairness, bias, transparency, safety, and reliability.
• Develop methods to detect and mitigate algorithmic bias and unintended model behavior.
• Perform AI risk assessments, model evaluations, and impact assessments.
• Implement explainability and interpretability techniques for machine learning models.
• Develop testing frameworks for AI robustness, adversarial risks, and model safety.
• Evaluate Large Language Models (LLMs) and Generative AI applications for hallucinations, harmful outputs, security risks, and reliability issues.
• Build AI safety guardrails, content filtering, and responsible generation controls.
• Conduct red teaming, adversarial testing, and failure analysis for AI systems.
• Establish monitoring practices for model drift, fairness, performance, and compliance.
• Collaborate with engineering teams to integrate Responsible AI controls into MLOps pipelines.
• Create documentation including model cards, data sheets, risk assessments, and AI governance reports.
• Stay updated on AI regulations, industry standards, and emerging Responsible AI practices.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Ethics in Technology, Cybersecurity, or a related field.
• 3+ years of experience in machine learning engineering, AI evaluation, AI governance, data science, or related fields.
• Strong understanding of machine learning algorithms, AI lifecycle management, and model evaluation.
• Experience with Python and machine learning frameworks.
• Knowledge of Responsible AI concepts including fairness, explainability, transparency, privacy, and safety.
• Experience analyzing AI model performance and identifying risks or failure patterns.
• Strong analytical, problem-solving, and documentation skills.
Preferred:
• Experience evaluating Large Language Models (LLMs), Generative AI, and AI agents.
• Experience with AI safety testing, red teaming, and adversarial machine learning.
• Knowledge of fairness and explainability tools such as IBM AI Fairness 360, Fairlearn, SHAP, LIME, or InterpretML.
• Experience with AI evaluation frameworks such as DeepEval, Ragas, LangSmith, Promptfoo, or OpenAI Evals.
• Familiarity with AI governance frameworks and regulatory requirements.
• Experience implementing Responsible AI practices within MLOps pipelines.
• Knowledge of privacy-preserving machine learning techniques.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.