.png)
Generative AI Safety Manager
Develop safety policies, monitor AI outputs, and educate users on ethical practices to ensure safe and effective Generative AI tools.
About Reality AI Lab
Reality AI Lab is advancing open-source AI tools that empower global education and career growth. Our mission is to develop AI Agents that support educators and learners worldwide, beginning with Marvel AI (an AI Teaching Assistant) and Sky AI (an AI Career Coach). Our tools are designed to make education more accessible and provide career-focused solutions that help people thrive.
Role Overview
We are seeking a Generative AI Safety Manager to develop and implement strategies that ensure the ethical, safe, and compliant use of Generative AI models. This role involves identifying and mitigating risks, developing safety policies, and implementing standards to prevent unintended consequences or misuse. This position is ideal for someone experienced in AI safety, risk management, or ethical AI practices, who is passionate about fostering responsible AI use, particularly in educational contexts.
Key Responsibilities
- Risk Assessment and Mitigation: Conduct regular assessments to identify potential risks in Generative AI usage, such as harmful outputs, data misuse, or ethical issues, and develop measures to mitigate these risks.
- Policy Development: Establish safety protocols and ethical guidelines to govern the use of Generative AI, ensuring that models operate within set boundaries and align with Reality AI Lab's values and standards.
- Safety Monitoring and Incident Response: Implement mechanisms to monitor AI outputs for safety and ethical compliance, and establish a rapid response protocol for managing incidents or violations.
- Collaboration with Development Teams: Work closely with developers, data scientists, and product managers to integrate safety features directly into the model design and deployment processes.
- User Education and Transparency: Educate users (such as educators and students) on the safe and responsible use of Generative AI, providing clear guidelines and ensuring transparency about AI’s capabilities and limitations.
- Continuous Safety Evaluation: Regularly review and update safety policies and protocols based on new insights, regulatory changes, and emerging risks in the AI field.
Requirements
- Experience in AI Safety or Risk Management: Background in AI safety, risk management, ethical AI practices, or a related field, ideally with experience in managing safety protocols for machine learning models.
- Strong Understanding of AI Ethics and Compliance: Familiarity with ethical considerations and regulatory frameworks related to AI, including bias prevention, transparency, and user privacy.
- Analytical and Problem-Solving Skills: Skilled in assessing potential risks and implementing proactive solutions to ensure safe and ethical AI operations.
- Communication and Collaboration Skills: Ability to articulate safety protocols and policies clearly, with experience working cross-functionally to align safety practices with technical development.
- Commitment to Responsible AI: Dedication to promoting responsible and safe AI practices, with a strong focus on user protection and ethical standards.
Additional Information
- Commitment: Part-time, unpaid open-source contribution role with flexible scheduling.
- Duration: 1-6 months, remote work setup.
- Diversity and Inclusion: Reality AI Lab is an equal opportunity organization, committed to fostering a diverse and inclusive environment.
Stay Connected for AI Lab Career Opportunities
Be the first to know about new roles and exciting opportunities at Reality AI Lab.
More open position
View all rolesLead the development of innovative AI tools, aligning strategies with Reality AI Lab's mission to empower education globally.
Drive strategic vision for AI tools, aligning products with market needs and advancing open-source education innovation.
Coordinate AI project planning and execution, fostering collaboration and ensuring timely delivery within an open-source environment.
Oversee multiple AI projects to align with strategic goals, driving impact through effective program coordination and collaboration.
Foster a thriving, inclusive contributor community by managing relations, onboarding, and support processes in open-source projects.
Empower contributors with learning programs that build skills and foster collaboration within the open-source community.
Build a vibrant, collaborative open-source community by supporting contributors and fostering meaningful engagement.
Ensure respectful and constructive community interactions by enforcing guidelines and fostering inclusivity within open-source projects.
Enhance contributor experiences with streamlined onboarding, support programs, and recognition initiatives in open-source projects.
Drive community growth by recruiting passionate contributors for open-source AI projects. Shape a diverse, inclusive AI ecosystem.
Create seamless onboarding experiences for new contributors to ensure their success in Reality AI Lab's open-source projects.
Secure grants and funding to advance Reality AI Lab's open-source AI tools and educational innovations.
Build strategic corporate partnerships to support Reality AI Lab's mission and secure resources for open-source growth.
Collaborate with academic institutions to foster partnerships, research, and engagement for Reality AI Lab's open-source projects.
Craft and execute marketing strategies for Reality AI Lab's AI tools, connecting with global educators and contributors.
Amplify Reality AI Lab's mission and projects through engaging social media content, fostering a vibrant online community.
Align generative AI tools with curriculum standards to enhance educational outcomes and empower teachers.
Ensure high-quality, curriculum-aligned educational content for Marvel AI to support effective teaching and learning.
Ensure the accuracy, credibility, and neutrality of AI-generated educational content for Marvel AI, maintaining high standards of reliability.
Oversee data privacy and compliance for Marvel AI, ensuring adherence to regulations and protecting user data in educational settings.
Monitor and optimize the performance and reliability of Generative AI models, ensuring stable and consistent functionality for users.
Manage deployment, infrastructure, and workflows for Generative AI models, ensuring efficient and scalable operations for AI tools.
Develop training programs to teach users and contributors how to effectively and responsibly use Generative AI tools in education.
Lead the evaluation of Generative AI models, assessing accuracy and quality to ensure they meet educational and user-focused standards.
Oversee cybersecurity for open-source AI tools, ensuring data integrity, privacy, and protection against vulnerabilities.
Lead data governance for open-source AI projects, ensuring quality, privacy, and compliance with relevant standards.
Manage QA processes for AI tools, ensuring reliability and usability through rigorous testing and quality assurance strategies.
Streamline infrastructure and CI/CD workflows for scalable and reliable open-source AI tools, ensuring seamless deployment.