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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Specialist

InnovateTech Solutions
San Francisco
Estimated Salary
USD 130.000 – USD 180.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join InnovateTech Solutions at the forefront of ethical AI development. We're seeking an AI Ethics Specialist to shape responsible AI frameworks for 2026 and beyond. This role bridges cutting-edge technology with human values, ensuring our AI systems align with societal ethics while driving innovation. You'll collaborate with cross-functional teams to embed ethical principles into product lifecycles and pioneer industry standards for transparent, accountable AI.

InnovateTech offers a dynamic, future-focused environment with competitive benefits, professional development stipends, and the opportunity to influence how AI evolves responsibly. Be part of a team that's not just building technology, but building a better future.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with emerging 2026 regulatory landscapes
  • Conduct bias audits and risk assessments for AI systems using advanced analytical tools
  • Develop comprehensive AI ethics documentation including impact assessments and transparency reports
  • Lead cross-functional workshops to embed ethical considerations in product development cycles
  • Research and publish thought leadership on evolving AI ethics challenges and solutions
  • Advocate for ethical AI principles in stakeholder communications and public forums
  • Monitor global AI regulatory developments and adapt compliance strategies proactively

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in AI ethics, responsible AI, or tech policy development
  • Expertise in bias mitigation techniques and fairness metrics for machine learning systems
  • Deep understanding of emerging AI regulations (EU AI Act, NIST frameworks)
  • Proven ability to translate complex ethical concepts into actionable technical requirements
  • Experience with AI model interpretability tools (SHAP, LIME, etc.) and auditing methodologies
  • Strong stakeholder management skills with ability to influence technical and non-technical audiences

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Machine Learning Auditing Stakeholder Communication Risk Assessment Ethics Documentation

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