Data-driven insights into the AI job market, featuring top employers, trending AI skills, salary trends, and comprehensive market analysis
31
Curated & verified positions
27
Actively hiring remotely
$229k
USD per year
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Remote-friendliness rating
Distribution of AI jobs across major categories
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Common questions about the responsible AI job market
Responsible AI refers to the practice of designing, developing, and deploying AI systems in ways that are safe, ethical, transparent, and aligned with human values. It encompasses AI safety, AI ethics, AI governance, model risk management, and regulatory compliance.
Responsible AI careers span four main categories: AI Risk & Controls (identifying and mitigating AI-related harms), AI Safety & Red Teaming (testing AI systems for failure modes), AI Governance & Programs (policy and compliance roles), and Model Risk Management & Validation (quantitative oversight of ML models used in regulated industries).
The most in-demand skills for responsible AI roles include machine learning fundamentals, Python, model risk frameworks (SR 11-7), AI policy and regulatory knowledge, red teaming and adversarial testing, risk assessment methodologies, and experience with large language models (LLMs).
Salaries for responsible AI roles vary by specialization and seniority. Senior AI governance and model risk roles at large financial institutions typically range from $120,000–$200,000+. AI safety roles at leading AI labs can range from $150,000–$300,000+ including equity.
Top hirers for responsible AI roles include major AI labs (Anthropic, OpenAI, Google DeepMind), large financial institutions (JPMorgan, Goldman Sachs, Bank of America), Big Tech companies (Microsoft, Meta, Amazon), and dedicated AI governance firms. The Responsible AI Jobs Index tracks the top employers by hiring volume and quality score.
Breaking into responsible AI typically involves building relevant technical or policy foundations: for AI safety, backgrounds in ML, computer science, or math are common; for AI governance, backgrounds in law, policy, or risk management are valued. Many professionals also complete AI safety fellowships, obtain certifications in AI risk management, or contribute to open-source AI safety research.
Browse 31+ active AI jobs from top companies hiring for AI Risk, Safety, Governance, and Engineering roles.