User Safety & Risk Operations Analyst - Global Response (Weekend Shift)

Written by the T&S Network from OpenAI's posting.

Escalation handling inside OpenAI's Trust, Safety and Risk Operations, covering user safety, risk and regulatory escalations across its products. The Global Safety Response Operations team provides 24/7 coverage for the highest-priority cases that need human judgment and rapid response, acting as the core escalations management and delivery arm of safety operations.

What you'd do

• Act as incident manager for escalations needing nuanced policy, legal or regulatory interpretation.
• Identify and build process improvements and automations to raise efficiency, accuracy and coverage.
• Run quality reviews and give feedback to keep decisions consistent across global teams.
• Analyze escalation and case data to surface trends that inform policy, product, model behavior or detection work.

What it asks for

• 5+ years in trust and safety, content moderation, investigations, fraud or developer risk operations.
• Experience in incident response, law enforcement response or escalations management.
• Familiarity with relevant legal, policy and technical frameworks.
• Track record of scaling operations and building processes across functions.
• Strong analytical skills for spotting patterns and recommending policy or product changes based on evidence.
• Use OpenAI technology to improve workflows and decision-making (preferred).

Worth knowing

• Exposure to sensitive content, including sexual, violent or otherwise disturbing material.
• Rotating shifts including nights, weekends and holidays, as part of an on-call model.
• Standard 5x8 week that includes covering the weekend shift each week.
• Background checks administered per applicable law.

Terms in this role

Law enforcement response.

Handling requests for user data from police and courts, including emergency requests where someone's life may be at risk.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on OpenAInorth_east before you apply. If we got something wrong, report this listing.