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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the future of responsible AI at FutureTech Innovations. As we approach 2026, ethical AI governance is no longer optional—it's critical. We're seeking a visionary AI Ethics Specialist to lead our charge in developing frameworks that ensure AI systems are transparent, equitable, and aligned with human values. Join a team of pioneers revolutionizing how technology serves humanity.

Drive strategic initiatives that balance innovation with ethical accountability, influencing industry standards while working with world-class data scientists and engineers. This role offers unparalleled impact at the intersection of technology and society, with opportunities to shape policies for Fortune 500 partners and emerging startups alike.

Responsibilities

  • Develop and implement AI ethics frameworks for autonomous systems and machine learning models
  • Conduct bias audits and risk assessments for AI deployment across industries
  • Collaborate with engineering teams to embed ethical design principles into development lifecycles
  • Advocate for regulatory compliance with evolving AI governance standards (e.g., EU AI Act, NIST frameworks)
  • Lead stakeholder workshops to align technical teams with ethical priorities
  • Research emerging ethical challenges in generative AI and quantum computing
  • Author thought leadership pieces and contribute to industry ethics coalitions

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, Law, or related field
  • 5+ years in AI governance, responsible tech, or policy development roles
  • Deep expertise in fairness metrics, explainable AI (XAI), and bias mitigation techniques
  • Proven experience creating ethics documentation for regulated industries
  • Strong understanding of global AI regulations and compliance landscapes
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Experience with MLOps and AI development lifecycle management

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Explainable AI Bias Mitigation Policy Development Risk Assessment

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