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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Researcher

FutureTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of ethical AI development for 2026. We're seeking visionary researchers to shape responsible AI frameworks that will define the next generation of technology. This role combines cutting-edge machine learning with rigorous ethical analysis to build systems that prioritize human values and societal benefit. You'll collaborate with multidisciplinary teams to develop governance protocols, audit algorithms for bias, and pioneer transparent decision-making processes. If you're passionate about ensuring AI advances humanity equitably, this is your opportunity to make history.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology standards
  • Conduct bias audits and fairness assessments on machine learning models
  • Develop protocols for transparent AI decision-making and explainability
  • Collaborate with engineers to embed ethical safeguards into AI systems
  • Research emerging ethical challenges in autonomous systems and generative AI
  • Lead stakeholder workshops to align technical teams with ethical guidelines
  • Author white papers and industry standards for responsible AI deployment

Qualifications

  • PhD in Computer Science, Ethics, Philosophy, or related field with 3+ years AI ethics experience
  • Expertise in fairness metrics, bias mitigation techniques, and explainable AI (XAI)
  • Published research in top-tier AI ethics journals or conferences
  • Strong programming skills in Python with experience in ML frameworks (TensorFlow, PyTorch)
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Experience conducting stakeholder engagement on sensitive technical topics
  • Proven ability to translate complex ethical concepts into actionable technical guidelines

Required Skills

AI Ethics Machine Learning Explainable AI Bias Mitigation Python TensorFlow PyTorch EU AI Act NIST Frameworks Research Methodology Stakeholder Engagement

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