Vosyn is hiring an ESG & CSR Responsible AI — Master-Level Internship

Requirements

• Enrollment in or completion of a Master’s program in Ethics, Computer Science, Data Science, Philosophy, or a related discipline; Master’s or Ph.D. candidates are strongly preferred.
• Demonstrated background in AI ethics, policy formulation, or similar domains, with solid knowledge of artificial intelligence systems.
• Proficiency in ethical models, AI oversight structures, and practices promoting responsible AI development.
• Highly developed analytical capabilities with a proven ability to navigate intricate ethical dilemmas.
• Exceptional written and verbal communication skills, particularly in converting ethical concepts into practical policy guidance.
• Knowledge of international AI regulatory frameworks and widely recognized industry benchmarks such as the EU AI Act and IEEE standards.
• Familiarity with core technical aspects including machine learning methods, data protection principles, strategies for reducing bias, and algorithmic explainability.
• Strong commitment to ethical AI development and advancing technological innovation that supports societal well-being.
• Capable of working autonomously as well as within interdisciplinary teams.
• Skilled in identifying issues, solving problems efficiently, and maintaining precision in work output.

Required (10)

• Currently enrolled or recently graduated from a Master’s in Ethics, Computer Science, Data Science, Philosophy, or a related field required; Master’s or Ph.D. preferred. Master’s program enrollment or completion is mandatory.
• Experience in AI ethics, policy development, or a related field, with a strong understanding of AI technologies.
• Expertise in ethical frameworks, AI governance, and responsible AI practices.
• Strong analytical and problem-solving skills, with the ability to address complex ethical challenges.
• Excellent communication skills for translating ethical principles into actionable policies.
• Familiarity with global AI regulations and industry standards (e.g., EU AI Act, IEEE Standards).
• Understanding of machine learning, data privacy, bias mitigation, and algorithmic transparency.
• Passionate about ethical AI and committed to fostering innovation that prioritizes social good.
• Ability to work both independently and collaboratively.
• Strong problem-solving skills and attention to detail.