Lead, AI External Testing and Feedback
We tailor your resume to this role and apply for you in seconds.
Apply to Lead, AI External Testing and Feedback at GoogleJob details
- Location
- Washington, District of Columbia
- Work type
- Onsite
- Compensation
- $164,000 - $239,000/yr
- Posted
- yesterday
- Apply on
- careers.google.com
About this role
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- 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.
Preferred qualifications:
- 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.
About the job
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
Learn more about benefits at Google.
Responsibilities
- 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.