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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

Nexus Future Technologies
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Technologies at the forefront of responsible AI innovation. We're seeking an AI Ethics Specialist to shape the ethical framework for our 2026 product roadmap. This role bridges cutting-edge technology with human-centered values, ensuring our AI solutions advance society while mitigating risks. You'll collaborate with cross-functional teams to embed ethical principles into AI development, conduct bias audits, and pioneer governance frameworks for next-generation systems. If you're passionate about democratizing AI responsibly and envisioning a technologically equitable future, this is your opportunity to make history.

Responsibilities

  • Develop and implement ethical AI governance frameworks aligned with 2026 technology standards
  • Conduct algorithmic bias audits and risk assessments for AI systems
  • Lead cross-functional workshops on responsible AI design principles
  • Collaborate with product teams to integrate ethical safeguards into AI development lifecycles
  • Author position papers on AI ethics for industry conferences and regulatory bodies
  • Establish metrics for measuring AI's societal impact and ethical compliance
  • Advocate for inclusive AI design through stakeholder engagement and user research

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 3+ years in AI governance, responsible AI, or ethics compliance
  • Expertise in bias detection techniques and fairness metrics for ML systems
  • Strong understanding of global AI regulations (EU AI Act, NIST AI RMF)
  • Proven experience developing ethical frameworks for high-impact AI products
  • Exceptional communication skills for translating complex ethical concepts
  • Publication or public speaking record on AI ethics topics
  • Familiarity with 2026 emerging AI technologies (e.g., generative AI, autonomous systems)

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Regulatory Compliance Ethical AI Frameworks Bias Mitigation Stakeholder Engagement NIST AI RMF

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