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Temporary Trust Safety Google Jobs (NOW HIRING)

mpathic

AI Safety Expert (Seattle or Boston)

Seattle, WA · On-site

$70 - $110/hr

About the role mpathic is seeking AI Safety Experts for a temporary project to support confidential ... technology, trust & safety, or other domains where judgment, critical thinking, and nuanced ...

mpathic

AI Safety Expert (Seattle or Boston)

Seattle, WA · On-site

$30/hr

About the role mpathic is seeking AI Safety Experts for a temporary project to support confidential ... technology, trust & safety, or other domains where judgment, critical thinking, and nuanced ...

Peerspace

Associate Investigator, Trust and Safety

$26/hr

Over $500M has been transacted through the platform, and our investors include GV (Google Ventures ... As an Associate Investigator on the Trust & Safety team, you are the first line of defense in ...

Google

Lead, AI External Testing and Feedback

Washington, DC · On-site

$53.75 - $73.25/hr

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 ...

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Infographic showing various Temporary Trust Safety Google job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $53,254 per year, or $25.6 per hour.

AI Safety Expert (Seattle or Boston)

mpathic

Seattle, WA • On-site

$70 - $110/hr

Other

Re-posted 11 days ago

Job description

About mpathic.ai

mpathic is keeping humans safe in the AI era through automated tools and expert datasets that are rooted in psychology and powered by clinicians. We are a series A start-up backed by Tier 1 investors including Foundry.vc and Next Frontier Capital.

About the role

mpathic is seeking AI Safety Experts for a temporary project to support confidential projects evaluating and improving the safety, reliability, and real-world behavior of frontier AI systems.

This role is ideal for professionals with expertise in human behavior, communication, policy, education, healthcare, technology, trust & safety, or other domains where judgment, critical thinking, and nuanced decision-making matter. You'll help identify model strengths and weaknesses, uncover failure modes, and provide the high-quality human feedback that makes AI systems safer and more useful.

What You'll Be Doing
  • Evaluating AI-generated conversations, responses, and reasoning for quality, safety, and usefulness
  • Rating model outputs using structured evaluation rubrics and project guidelines
  • Annotating conversational data to support AI training and benchmarking
  • Identifying emerging risks, behavioral patterns, and opportunities for model improvement
  • Providing written feedback that helps researchers and engineers improve model performance
  • Maintaining strict confidentiality while working with proprietary AI systems and sensitive content
  • Participating in calibration sessions and quality reviews to ensure consistent evaluations
What We're Looking For

Successful candidates are curious, analytical, thoughtful communicators who enjoy solving complex problems and exercising sound judgment. They are comfortable evaluating nuanced situations, following detailed guidelines, and contributing to the development of trustworthy AI.

Basic Qualifications
  • Professional experience or subject matter expertise in a relevant field such as psychology, behavioral science, social work, trust & safety, research, or a related discipline
  • Strong written communication skills with excellent attention to detail
  • Comfortable learning structured evaluation frameworks and applying them consistentlyStrong critical thinking and problem-solving skills
  • High ethical standards and sound judgment when working with sensitive or ambiguous content
  • Comfortable using AI tools, Google Workspace, Slack, and other web-based collaboration platforms
  • Willingness to sign NDAs and work on confidential projects
  • Availability to work on-site in Seattle, San Francisco, or Boston
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