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Information Technology 🏒 Full Time ⭐️ Verified

Project 2026: Lead AI Ethicist | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of humanity in 2026?

Nexus Horizon is leading the charge in shaping the technological landscape for the coming decade. We are seeking a visionary Lead AI Ethicist for Project 2026 to guide our cutting-edge artificial intelligence initiatives. In this high-impact role, you will be the guardian of our ethical standards, ensuring that our systems are not only powerful but also equitable, transparent, and aligned with societal values. You will work at the intersection of philosophy, technology, and policy, crafting the blueprints for responsible AI that will define the year 2026 and beyond.

Join us in building a future where technology amplifies human potential while upholding the highest moral standards.

Responsibilities

  • Lead the ethical framework development for Project 2026, ensuring alignment with global AI governance standards.
  • Conduct rigorous audits of algorithmic models to identify and mitigate bias in training data and decision-making processes.
  • Collaborate directly with engineering and data science teams to integrate 'Privacy by Design' and 'Ethics by Design' principles into product lifecycles.
  • Advocate for transparency and explainability in complex AI systems to build trust with users and stakeholders.
  • Monitor emerging legislative trends and international AI regulations to ensure continuous compliance and adaptability.
  • Develop and deliver training programs to foster an ethical culture across the entire organization.

Qualifications

  • Master’s or PhD in Philosophy, Computer Science, Law, Public Policy, or a related field with a focus on AI ethics.
  • Minimum of 5 years of experience in AI ethics, policy development, or regulatory compliance within the tech industry.
  • Deep technical understanding of machine learning models, NLP, and deep learning architectures.
  • Exceptional ability to translate complex technical concepts into clear, actionable ethical guidelines for non-technical stakeholders.
  • Proven track record of managing cross-functional teams and leading high-stakes ethical reviews.
  • Strong analytical skills with a focus on statistical fairness and bias mitigation.

Required Skills

AI Ethics Machine Learning Bias Mitigation Data Privacy Regulatory Compliance Python Stakeholder Management Policy Development

Ready to Take This Challenge?

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