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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Compliance Specialist

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Technologies at the forefront of shaping ethical AI frameworks for 2026. As an AI Ethics Compliance Specialist, you'll pioneer responsible innovation in generative AI systems while ensuring alignment with global regulatory standards. This role bridges cutting-edge technology with ethical governance, working with Fortune 500 partners to implement auditable AI compliance protocols.

Why Nexus? We're the industry leader in ethical AI deployment, with 97% client retention and recognition by the World Economic Forum as a pioneer in responsible technology. Our culture values intellectual curiosity and societal impact.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026-era generative systems
  • Conduct bias audits and fairness assessments on production AI models
  • Collaborate with engineering teams to embed ethical safeguards in ML pipelines
  • Prepare compliance documentation for global regulatory bodies (EU AI Act, NIST AI RMF)
  • Lead cross-functional ethics working groups with product and legal stakeholders
  • Monitor emerging AI legislation and update compliance strategies quarterly
  • Train engineering teams on ethical AI development practices

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 3+ years in AI governance, compliance, or responsible AI implementation
  • Expertise in NIST AI RMF, EU AI Act, and OECD AI Principles
  • Proficiency in Python for bias auditing tools (AIF360, Fairlearn)
  • Experience with regulatory documentation for high-stakes AI systems
  • Strong knowledge of generative AI architectures (LLMs, diffusion models)
  • Certification in AI Ethics (e.g., IEEE CertAI, EIT Digital) or equivalent

Required Skills

AI Ethics NIST AI RMF EU AI Act Bias Auditing Generative AI Regulatory Compliance Python Fairlearn Governance Frameworks

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