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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of ethical AI development. As we shape the technological landscape of 2026, we seek a visionary AI Ethicist to ensure our innovations align with humanity's best interests. You'll architect responsible AI frameworks, guide cross-functional teams through ethical dilemmas, and pioneer standards that define the next generation of intelligent systems. This role combines deep technical expertise with philosophical rigor in a collaborative, forward-thinking environment.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026 technology roadmap
  • Conduct bias audits and risk assessments for machine learning models
  • Advise product teams on ethical implications of AI deployment strategies
  • Design transparency protocols for autonomous systems and decision-making processes
  • Lead stakeholder dialogues on AI ethics with policymakers, researchers, and industry leaders
  • Author position papers on emerging ethical challenges in generative AI and quantum computing
  • Mentor junior engineers on responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI ethics experience
  • Proven expertise in auditing algorithmic bias and fairness metrics
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Publication record in top-tier AI ethics journals or conferences
  • Experience developing ethical guidelines for large-scale ML deployments
  • Exceptional communication skills for translating complex ethical concepts to technical teams
  • Knowledge of quantum computing implications for AI ethics
  • Certification in Responsible AI (e.g., Google's AI Principles certification)

Required Skills

AI Ethics Machine Learning Governance Risk Management Policy Development Bias Mitigation Quantum Computing Stakeholder Engagement

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