Researcher, Trustworthy AI

OpenaiOpenai·Remote(San Francisco)
Other

WFA Digital Insight

As the demand for AI safety specialists grows by over 25% annually, Openai's Researcher role stands out in the current remote job market. With a focus on translating nebulous policy problems into technically tractable solutions, this role requires a unique blend of research, digital skills, and socio-technical expertise. Candidates should be aware that the field of AI safety is rapidly evolving, with a growing need for professionals who can ensure the safe deployment of AI models. Notably, the AI safety market is projected to reach

0 billion by 2027, underscoring the importance of this role. Before applying, consider the intersection of technology, policy, and societal impact, as well as the need for interdisciplinary research experience and a passion for making cutting-edge AI models safer for real-world use.

Job Description

About the Role

The Researcher, Trustworthy AI role at Openai is a unique opportunity to shape the future of artificial intelligence by ensuring its safe deployment. As part of the Safety Systems team, you will be working on action-relevant research to make AI models more trustworthy and beneficial for society. Your day-to-day responsibilities will involve collaborating with cross-functional teams to push the boundaries of AI safety and translate complex policy problems into technically tractable solutions.

The Trustworthy AI team is at the forefront of Openai's mission to build and deploy safe AGI, driving the company's commitment to AI safety and fostering a culture of trust and transparency. You will be working closely with the team to inform and build interventions that increase societal readiness for increasingly intelligent systems.

What You Will Do

  • Set research strategies to study societal impacts of AI models in an action-relevant manner and tie this back into model design
  • Build creative methods and run experiments that enable public input into model values
  • Increase the rigor of external assurances by turning external findings into robust evaluations
  • Facilitate and grow the ability to effectively de-risk flagship model deployments in a timely manner
  • Collaborate with cross-functional teams to translate nebulous policy problems into technically tractable solutions
  • Develop and maintain expertise in the field of AI safety, focusing on topics like RLHF, adversarial training, robustness, and LLM evaluations
  • Conduct interdisciplinary research to understand the impacts of anthropomorphism of AI on society
  • Design and implement methods for public inputs into model values
  • Analyze and evaluate the effectiveness of external assurances for AI
  • Communicate research findings and insights to both technical and non-technical stakeholders
  • Contribute to the development of Openai's AI safety strategy and roadmap

What We Are Looking For

  • 3+ years of research experience in AI safety or a related field
  • Proficiency in Python or similar languages
  • Experience working with large-scale AI systems and multimodal datasets
  • Passion for AI safety and making cutting-edge AI models safer for real-world use
  • Strong understanding of RLHF, adversarial training, robustness, and LLM evaluations
  • Experience with interdisciplinary research, focusing on socio-technical topics
  • Strong communication and collaboration skills
  • Ability to work in a fast-paced and dynamic environment
  • Experience with external assurances for AI, including independent checks and validation
  • Familiarity with the Openai Safety Systems team's work and mission

Nice to Have

  • Experience working with policy problems and translating them into technically tractable solutions
  • Familiarity with the field of AI ethics and its applications
  • Knowledge of human-centered design principles and their application to AI systems
  • Experience working with stakeholders to understand their needs and concerns

Benefits and Perks

  • Competitive compensation package
  • Opportunity to work on cutting-edge AI safety research
  • Collaborative and dynamic work environment
  • Access to state-of-the-art tools and technologies
  • Professional development opportunities, including training and education
  • Flexible work arrangements, including remote work options
  • Comprehensive health insurance and benefits package
  • Generous parental leave policy
  • Access to Openai's network of experts and researchers in the field of AI safety
  • Opportunity to contribute to Openai's mission to build and deploy safe AGI
  • Recognition and rewards for outstanding performance and contributions to the team
  • A stipend for remote work and professional development

How to Stand Out

  • Develop a strong understanding of AI safety fundamentals, including RLHF, adversarial training, and robustness, to increase your chances of standing out in the application process.
  • Build a portfolio of research projects that demonstrate your expertise in AI safety and your ability to translate complex policy problems into technically tractable solutions.
  • Prepare to discuss your experience working with large-scale AI systems and multimodal datasets, and be ready to provide specific examples of your accomplishments.
  • Familiarize yourself with Openai's Safety Systems team's work and mission, and be prepared to discuss how your skills and experience align with their goals.
  • Emphasize your passion for AI safety and your commitment to making cutting-edge AI models safer for real-world use, as this is a key aspect of the Researcher role.
  • Be prepared to negotiate your salary, as the company may not disclose it initially, and be sure to discuss your expectations and requirements during the interview process.
  • Look for red flags, such as a lack of transparency about the company's AI safety strategy or a lack of emphasis on interdisciplinary research, and be prepared to ask questions about these topics during the interview process.

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