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AI Ethics Strategist - 2026 Vision

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join our pioneering team shaping the ethical frontier of AI for 2026 and beyond. As an AI Ethics Strategist, you'll architect responsible frameworks for next-generation autonomous systems while driving industry standards that balance innovation with human values. This role sits at the intersection of technology policy, corporate governance, and societal impact.

We offer competitive equity packages, flexible remote work options, and dedicated innovation time to explore emerging ethical dilemmas. Our culture combines Stanford-esque intellectual rigor with startup agility.

Responsibilities

  • Develop enterprise-wide AI ethics governance frameworks aligned with 2026 regulatory projections
  • Lead cross-functional task forces on bias mitigation in generative AI systems
  • Conduct forward-looking impact assessments for autonomous deployment strategies
  • Partner with policy teams to shape federal AI legislation recommendations
  • Design transparent algorithmic audit protocols for high-stakes decision systems
  • Author thought leadership on AI-human symbiosis for industry publications
  • Mentor junior ethicists through our Future Leaders program

Qualifications

  • PhD in Ethics, Philosophy, or related field with 5+ years applied AI governance experience
  • Deep expertise in NIST AI Risk Management Framework and EU AI Act compliance
  • Published research on algorithmic fairness or explainable AI (XAI)
  • Experience testifying before congressional subcommittees on tech ethics
  • Proficiency in Python for ethics simulation modeling
  • Track record of implementing ethics-by-design principles in production systems
  • Certification in Responsible AI from MIT or Stanford (preferred)
  • Portfolio demonstrating 3+ deployed ethical AI frameworks

Required Skills

AI Ethics Governance NIST Framework Policy Development Algorithmic Auditing Explainable AI Bias Mitigation Regulatory Compliance Python Risk Assessment

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