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AI Ethics Lead - 2026 Visionary Role

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the forefront of ethical AI development in 2026! QuantumLeap Dynamics seeks a visionary AI Ethics Lead to shape the responsible future of artificial intelligence. You'll architect governance frameworks for next-gen neural networks, ensuring alignment with human values while driving innovation in autonomous systems, biotech algorithms, and quantum computing interfaces.

This role requires a blend of philosophical depth and technical mastery to navigate the ethical complexities of AGI development. You'll collaborate with Nobel laureates, policy makers, and research pioneers to establish industry standards that will define humanity's technological trajectory for decades.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-era autonomous systems
  • Lead cross-functional audits of neural network decision-making processes
  • Develop real-time bias mitigation protocols for quantum-enhanced algorithms
  • Advise executive leadership on ethical implications of AGI development pathways
  • Author industry white papers on human-AI symbiosis standards
  • Coordinate with global regulatory bodies on AI safety protocols
  • Mentor ethics engineers in emerging philosophical computing paradigms

Qualifications

  • PhD in Philosophy, Computer Science, or Cognitive Science with 5+ years AI ethics experience
  • Published work on value alignment in superintelligent systems
  • Expertise in ISO/IEC 42001 and IEEE 7000 standards
  • Proficiency in ethical AI toolkits (IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of quantum computing ethics implications
  • Experience testifying before congressional technology committees
  • Portfolio demonstrating impact on AI safety policy development

Required Skills

AI Ethics Governance Frameworks Neural Networks AGI Safety Quantum Computing Policy Development Bias Mitigation ISO/IEC 42001 IEEE 7000

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