Senior AI Enforcement Analyst, Safety Operations

🕒 May 13

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Own Automated Enforcement Quality: Serve as a strategic owner for enforcement outcomes across AI-driven systems. You will diagnose underperformance and make go/no-go recommendations on when models are ready for production. • Translate Policy Into Models: Act as the primary “policy-to-model” translator. You’ll craft prompts, define evaluation criteria, and curate high-quality datasets (“golden sets”) that teach models to distinguish between contextual debate and policy violations. • Guide Model Evolution: Monitor enforcement performance over time, identifying concept drift, policy changes, or emerging threats that require retraining, prompt updates, or evaluation redesign. • Surface Blind Spots: Develop monitoring strategies for niche communities, edge cases, and emerging behaviors to ensure enforcement systems reflect Reddit’s diversity and complexity. • Safeguard Model Integrity: Flag risks, escalate incidents, and recommend rollbacks or mitigations when automated systems fall below quality or safety thresholds, in partnership with ML and Product stakeholders.

🎯 Requirements

• 5-7+ years of experience in Trust & Safety, with hands-on exposure to automated or scaled enforcement systems. • AI-Literate with an understanding of how LLM-based and classifier-driven enforcement systems behave in production, including their strengths, limitations, and failure modes. You can evaluate errors, interpret metrics, and connect model behavior back to policy intent. • Familiarity with AI safety concepts such as evaluation design, data quality, labeling strategies, and continuous improvement loops, applied through an operational lens. • Experience in SQL and/or Python is preferred. Overall, you should be able to use data to investigate issues, assess tradeoffs, and inform decisions—not just report outcomes. • Ability to move fluidly between technical discussions with ML partners and strategic alignment with Policy, Legal, and Product leaders. • Experience with content moderation, scaled enforcement programs, policy interpretation, and real-time incident response in complex environments.

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave