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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Specialist

Nexus Innovations
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development as we shape the ethical frameworks for 2026 and beyond. As our AI Ethics Specialist, you'll pioneer governance strategies that balance innovation with human values in an increasingly automated world. This hybrid role combines cutting-edge research with real-world implementation, working directly with our AI development teams to ensure compliance with evolving global standards.

We offer competitive benefits, flexible work arrangements, and opportunities to present at international tech conferences. Our Austin campus features state-of-the-art facilities and a culture dedicated to ethical technology advancement.

Responsibilities

  • Develop and implement AI ethics governance frameworks for 2026 deployment scenarios
  • Conduct bias audits and risk assessments for autonomous systems
  • Collaborate with engineering teams to embed ethical safeguards in AI models
  • Establish stakeholder engagement protocols for transparent AI decision-making
  • Lead cross-functional working groups on emerging ethical dilemmas
  • Produce policy recommendations for regulatory bodies and industry standards
  • Monitor global AI ethics legislation and adapt compliance strategies

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or ethics roles
  • Expertise in bias mitigation techniques for machine learning systems
  • Familiarity with EU AI Act, NIST AI RMF, and other regulatory frameworks
  • Strong background in policy development and stakeholder communication
  • Experience with responsible AI implementation in production environments
  • Certification in AI ethics (e.g., IEEE, ACM) preferred

Required Skills

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

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