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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Researcher

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary researcher to pioneer responsible AI development in an era of unprecedented technological advancement. Lead cross-functional teams in developing governance protocols, bias mitigation strategies, and transparency frameworks for next-generation autonomous systems. Work directly with policymakers, engineers, and ethicists to ensure AI innovations align with human values and societal benefits. This role offers the unique opportunity to define the ethical landscape of our digital future while working with cutting-edge AI technologies.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026 technology roadmap
  • Lead bias audits and fairness assessments in autonomous systems and predictive models
  • Collaborate with engineering teams to embed ethical safeguards into AI development lifecycle
  • Produce whitepapers and policy recommendations for regulatory bodies and industry standards
  • Mentor junior researchers and foster ethical innovation culture across organization
  • Represent company at global AI ethics summits and regulatory discussions

Qualifications

  • PhD in Computer Science, Philosophy, Ethics, or related field (Master's with exceptional experience considered)
  • 5+ years of experience in AI ethics, responsible AI, or technology governance
  • Published research in top-tier AI ethics or machine learning conferences
  • Expertise in bias detection techniques and fairness metrics for ML models
  • Strong understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Experience collaborating with interdisciplinary teams including engineers, policymakers, and ethicists
  • Exceptional communication skills for translating complex ethical concepts to diverse stakeholders

Required Skills

AI Ethics Responsible AI Machine Learning Governance Bias Mitigation Regulatory Compliance Cross-functional Leadership Policy Development Autonomous Systems

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