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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking a visionary AI Ethics Strategist to shape ethical frameworks for next-generation autonomous systems. This pivotal role bridges cutting-edge technology with human-centered values, ensuring our innovations align with societal good. You'll collaborate with world-class engineers, policymakers, and ethicists to embed fairness, transparency, and accountability into AI lifecycle processes.

Our Austin hub fosters a culture of radical innovation and ethical rigor. Enjoy competitive benefits, flexible work arrangements, and opportunities to present at global AI ethics conferences. Help us build a future where technology serves humanity equitably.

Responsibilities

  • Develop and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and algorithmic impact assessments across ML pipelines
  • Lead cross-functional ethics committees with engineering and legal teams
  • Design responsible AI training programs for 500+ technical staff
  • Advocate for ethical AI standards in industry coalitions and regulatory bodies
  • Quantify ethical risks using proprietary ethical scoring methodologies
  • Partner with UX teams to create explainable AI interfaces

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias mitigation or fairness metrics
  • Expertise in EU AI Act, NIST AI RMF, and global AI regulatory landscapes
  • Proven ability to translate ethical principles into technical requirements
  • Experience leading ethics initiatives in Fortune 500 tech companies
  • Strong background in causal inference and fairness-aware ML techniques
  • Certification in Responsible AI from Stanford/MIT or equivalent
  • Exceptional stakeholder communication skills across technical and non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Policy Development Causal Inference Explainable AI Regulatory Compliance Stakeholder Engagement Bias Mitigation Ethical Framework Design

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