> Markdown version of [/jobs/ext/2552941-lead-ai-external-testing-and-feedback](https://www.wearedevelopers.com/jobs/ext/2552941-lead-ai-external-testing-and-feedback). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, AI External Testing and Feedback - **Company:** Google LLC - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $164,000.0 - $239,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=883f86421f221c82 ## About the Role * Bachelor's degree or equivalent practical experience. * 7 years of experience in program or project management. * Experience with key policy issues affecting the online technology sector, including artificial intelligence and content regulation., * JD, MBA or Master's degree. * Experience with the development and maintenance of content safety policies and operations. * Experience collaborating with cross-functional stakeholders and navigate organizational boundaries including executive stakeholders. * Knowledge of the technology sector and key policy issues affecting the internet. * Ability to operate in a rapidly moving environment and translate complex issues into simple and clear language. ## Description In this role, you will be part of the RTR's External Consultation, Testing and Research (ECTR). The ECTR team helps to strengthen connections between valued external experts and our broader Trust and Safety team, garner feedback about specific decisions/outcomes, and gather insight and expertise on specific artificial intelligence issues. The ECTR's team's role is to build trust in Google's process to keep the internet safe for all users and help develop more robust policies, products and processes. You will be a part of our AI testing and feedback program where you will collaborate with external stakeholders and internal teams like Google DeepMind, Public Policy, and Marketing teams. Your role working will gather feedback from external stakeholders on our most important AI products. You will analyze large datasets of feedback for insights and recommendations for Leadership, while optimizing the efficiency and accuracy of our AI testing program. You will use your independent, critical thinking skills with strong judgment and balance immediate needs with a long-term outlook, making data-driven recommendations. You will streamline complex workflows and provide support to internal stakeholders. You should be comfortable with both qualitative analysis and structured data sets. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $239000 (USD) + 20% bonus target + equity + benefits, * Cultivate relationships and programming for external thought leaders, academics and policy experts on artificial intelligence and content safety issues. * Run outreach and operational functions for our external AI testing program in the United States. * Work cross-functionally with Trust and Safety, Product Engineering, Marketing and Public Policy teams to engage with external stakeholders on key content safety issues including elections integrity, child safety, scams and artificial intelligence. * Support the overall operations of the AI testing program including testing readiness and communications to internal and external stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Got AI ideas but no money? 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