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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As we pioneer breakthrough technologies for 2026, we seek an AI Ethics Researcher to shape the future of machine learning ethics. You'll collaborate with cross-functional teams to ensure our AI systems align with human values while driving innovation in sustainability and social impact.

About Nexus Innovations: A leader in ethical AI development, we're building the next generation of intelligent systems that prioritize human well-being and environmental stewardship. Our San Francisco hub is where technology meets conscience.

Responsibilities

  • Develop ethical frameworks for AI deployment across healthcare, finance, and autonomous systems
  • Conduct bias audits and impact assessments for machine learning models
  • Partner with engineering teams to implement ethical safeguards in production AI
  • Lead stakeholder workshops on responsible AI adoption with industry partners
  • Research emerging ethical challenges in generative AI and quantum computing
  • Author policy briefs for regulatory bodies on AI governance standards
  • Mentor junior researchers in ethics methodologies and critical thinking

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 3+ years AI ethics experience
  • Published research in top-tier journals on algorithmic fairness or explainable AI
  • Expertise in bias mitigation techniques and model transparency protocols
  • Strong background in regulatory frameworks (GDPR, EU AI Act, NIST AI RMF)
  • Experience conducting ethical impact assessments for high-stakes AI systems
  • Exceptional communication skills for technical and non-technical audiences
  • Portfolio demonstrating practical implementation of ethical AI solutions

Required Skills

AI Ethics Machine Learning Bias Mitigation Explainable AI Regulatory Compliance Research Methodology Policy Development Stakeholder Engagement

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