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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Researcher

2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join 2026 Labs at the forefront of responsible AI innovation. We're seeking visionary AI Ethics Researchers to shape the ethical frameworks of tomorrow's intelligent systems. In this pivotal role, you'll collaborate with cross-functional teams to develop governance protocols, audit algorithms for bias, and pioneer transparent AI deployment strategies. Our mission: ensuring AI serves humanity ethically while driving unprecedented technological progress.

At 2026 Labs, you'll work in a cutting-edge environment where your research directly impacts product development, policy recommendations, and industry standards. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research at premier AI ethics conferences.

Responsibilities

  • Design and implement bias detection protocols for machine learning models
  • Develop ethical frameworks for autonomous system decision-making
  • Conduct interdisciplinary research on AI fairness and transparency
  • Collaborate with engineering teams to embed ethical safeguards in AI products
  • Author white papers and contribute to industry ethics standards
  • Advocate responsible AI adoption through internal workshops and external speaking engagements

Qualifications

  • PhD in Philosophy, Computer Science, Ethics, or related field with 3+ years of AI ethics research
  • Expertise in fairness metrics, bias mitigation techniques, and explainable AI
  • Publication record in top-tier AI ethics or machine learning venues
  • Strong programming skills (Python/R) and statistical modeling expertise
  • Experience with regulatory frameworks (GDPR, EU AI Act) and policy development
  • Demonstrated ability to translate complex ethical concepts into actionable guidelines

Required Skills

AI Ethics Machine Learning Bias Mitigation Explainable AI Policy Development Python Statistical Modeling Regulatory Compliance

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