Analyst, Responsible AI Testing

1 Month ago • 4 Years + • Data Analyst • $110,000 PA - $157,000 PA

Job Summary

Job Description

The Analyst, Responsible AI Testing role at Google focuses on pre-launch safety, neutrality, and fairness testing for GenAI products. This involves designing testing protocols, partnering with technical experts, leveraging data analysis to identify and mitigate risks, and presenting actionable insights to T&S and product teams. Responsibilities include designing integrations between business objectives and systems, conducting strategic analysis to optimize business performance, managing projects with multiple stakeholders, and using Google's big data for analysis and decision-making. The role requires expertise in structured testing and working with sensitive content, demanding excellent communication, problem-solving, and critical thinking skills.
Must have:
  • Bachelor's degree or equivalent experience
  • 4+ years in data analytics, Trust & Safety, or related fields
  • Experience with machine learning
  • SQL, data analysis, visualization, dashboarding
  • Excellent communication and presentation skills
  • Strong problem-solving and critical thinking skills
Good to have:
  • Master's degree in a relevant field
  • Experience in scripting/programming (Python)
  • Experience building dashboards
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

  • Master's degree in relevant field.
  • Education in, or experience with, machine learning.
  • Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
  • Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

In this role, you will be an expert in structured safety, neutrality and fairness pre-launch testing for Google's GenAI products. You will partner closely with the technical abuse-fighting experts in Trust and Safety (T&S) to understand launch requirements, and develop testing protocols. You will leverage robust data analysis to provide actionable insights on potential risks for mitigation by T&S and product teams and implement risk mitigation strategies.

The US base salary range for this full-time position is $110,000-$157,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Design and implement integrations between business objectives and business systems, including designing and building strategies that support these business systems.
  • Conduct strategic analysis, optimize business performance, and deliver within relevant product areas including analyzing data, identifying trends, and developing solutions that improve business performance.
  • Manage projects involving multiple stakeholders, tight timelines, important organizational implications, and changing circumstances.
  • Use Google’s big data to conduct data-oriented analysis, architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends.
  • Own and lead structured pre-launch safety, neutrality and fairness testing, end to end, for Google’s most prominent GenAI products. Work with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting topics or content.

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