New Careers in Responsible AI This Week!
All Tech Tech Is Human’s Responsible Tech Job Board curates roles focused on reducing the harms of technology, diversifying the tech pipeline, and ensuring that technology is aligned with the public interest. It is the premiere resource in the field for people exploring a career change, new role, or interested in the growing responsible tech ecosystem.
This week, we’re highlighting 10 roles in Responsible AI. We’re dedicated to mapping the Responsible AI ecosystem, highlighting the key organizations, roles, and people working to create a better tech future. Interested in learning more about Responsible AI? Check out our knowledge hub!
Research Scientist, AI Safety and Alignment, DeepMind
Identify and investigate possible failure modes for foundation models, ranging from sociotechnical harms (e.g. fairness, misinformation) to misuse (e.g. weapons development, criminal activity) to loss of control (e.g. high-stakes failures, rogue AI).
Develop and implement technical approaches to mitigate these risks, such as benchmarking and evaluations, dataset design, scalable oversight, interpretability, adversarial robustness, monitoring, and more, in coordination with the team’s broader technical agenda.
Report and present research findings and developments to internal and external collaborators with effective written and verbal communication.
Collaborate with other internal teams to ensure that Google DeepMind AI systems and products (e.g. Gemini) are informed by and adhere to the most advanced safety research and protocols.
Program Manager, Economic Impacts & Policy Research, OpenAI
This role will work closely with the Strategy Org and report directly to the Economic Impacts Lead. OpenAI needs someone who can support internal and external coordination of OpenAI’s efforts around economic impacts. This will require a unique blend of program management, oral and written communication skills, and subject-matter expertise. Technical skills and industry experience are nice to have. This role will require significant collaboration across different partnerships teams at the company and with external stakeholders (e.g. governments, non-profits, academics, customers).
Research Assistant, AI Fairness and Disability Justice, Harvard Berkman Klein Center
Maitreya Shah, one of BKC’s 2023-24 fellows, is seeking a research assistant for his project on evaluating AI fairness from a disability justice perspective. The project aims to critique dominant AI fairness approaches, analyze key trends in the responsible AI movement, gather perspectives from disability rights experts, and deliberate on making technologies more inclusive. This research would engage with the emerging discourse on governing technologies, with an overarching goal of centering perspectives from scholars with disabilities or those working in the nuanced intersection of technology and disability.
GenAI Regulatory Engineer, appliedAI Institute
Focussing on the EU AI Act and related Regulation and Standards, the main job of this role is to cover all aspects concerning GenAI (aka General Purpose AI Systems) with a focus on operationalising related requirements throughout the entire AI value chain and the possibilities to automate compliance with the AI Act via SW/AI tools. For illustration, this role is concerned with the classification of GPAIs, the role of downstream providers, transparency obligations, traceability and risk management.
Postdoctoral Research Associate in AI and Human Resource Management, University of Virginia
The Sloane Lab at the University of Virginia School of Data Science is seeking a postdoctoral researcher to conduct impactful and cutting-edge qualitative research on AI and human resource management. The ideal candidate will have expertise in conducting qualitative data collection and analysis and will examine research questions related to how AI technologies are integrated into and impact human resources management practices, specifically recruiting. This includes examining the implications for fairness, efficiency, transformation of work practices, responsible AI design and policy. The candidate will collaborate closely with the PIs Mona Sloane (UVA School of Data Science), Sarah Lebovitz (UVA McIntire School of Commerce), and Roshni Raveendhran (UVA Darden School of Business), contributing to the development of new interdisciplinary insights and the dissemination of research findings through high-impact publications, presentations, and practitioner engagement. The candidate will be hired through the School of Data Science but will be eligible to hold an additional affiliation with the Darden School of Business.
Operations Support Manager, Responsible AI Institute (RAI Institute),
RAI is seeking a motivated and enthusiastic Operations Support Manager to join its dynamic team. As Operations Support Manager, you will play a crucial role in improving RAI’s processes and impact.
Lead Counsel, AI Product, Meta
Facebook seeks a highly motivated, energetic tech enthusiast to serve as Product Counsel for Facebook’s AI product counseling team. You will advise the Artificial Intelligence and Machine Learning teams on legal and regulatory issues, which will require application of complex and evolving legal frameworks to a new and innovative space. This is a great opportunity to join a growing legal team and to work on novel issues in an exciting, fast-paced environment, as we build and scale Meta’s global community. This is a full-time position.
IT Specialist (Artificial Intelligence), U.S. Department of Homeland Security
The primary purpose of the position is to serve as an AI Technology Expert for AI/ML-enabled applications and solutions. In this role you will help DHS leverage the moment and momentum created by recent technological advancements to harness the benefits of AI and significantly expand its responsible use to improve delivery of services and operational effectiveness.
Child Safety Enforcement Specialist, OpenAI
You will be a subject matter expert across all of OpenAI’s policies related to child safety. You will develop deep expertise in applying OpenAI’s policies in the context of AI-generated content, provide expert-level guidance on the policy compliance of content, and work on implementing and scaling review processes related to sensitive content.
Post Bac Fellow in Ethical AI, Duke University
This Post-Baccalaureate Fellow will serve as a full-time in-residence fellow at the Duke Initiative for Science & Society, working under the direction of Dr. Nita Farahany, the Robinson O. Everett Distinguished Professor of Law & Philosophy at Duke University, and Director of the Duke Initiative for Science & Society. The fellow will join a collaborative interdisciplinary research team focused on the ethical design and analysis of AI and computational systems. The fellow will have the opportunity to research and develop manuscripts concerning the ethical, legal, and social implications of AI; assist in the creation of educational modules based on AI ethics case studies; and participate in ethics consultations to advise AI researchers. This will include exploring issues of algorithmic bias, discrimination, transparency, innovation, implications for workforce skilling, and distributional concerns in the development and deployment of artificial intelligence and machine learning. While several technological solutions have (and will be developed) over time, there is still little consistency across society and cultures in addressing the societal implications of AI.