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AI Ethics Strategist - 2026 Visionary Role

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development in 2026. We're seeking an AI Ethics Strategist to architect responsible frameworks for autonomous systems that will redefine humanity's technological trajectory. This role sits at the intersection of cutting-edge AI research and moral philosophy, ensuring our innovations align with global ethical standards while driving commercial viability.

Our Austin-based innovation hub offers unparalleled resources to pioneer solutions for algorithmic fairness, bias mitigation, and transparent decision-making. You'll collaborate with world-class researchers to shape the ethical guidelines that will govern AI deployments across healthcare, finance, and critical infrastructure in the coming decade.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-era autonomous systems
  • Lead cross-functional task forces to audit algorithmic bias in machine learning pipelines
  • Develop predictive models for ethical risk assessment in AI deployments
  • Partner with regulatory bodies to shape next-generation AI compliance standards
  • Create immersive ethics training programs for engineering teams deploying advanced AI
  • Author thought leadership on the societal implications of AGI development
  • Establish KPIs for measuring ethical performance in AI systems

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years developing ethical frameworks for AI/ML systems
  • Expertise in bias detection algorithms and fairness metrics
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience with adversarial testing of autonomous systems
  • Published research on algorithmic transparency or explainable AI
  • Strong background in policy analysis and stakeholder communication
  • Proficiency in Python and statistical analysis tools

Required Skills

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

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