Trust & Safety Associate

Snorkel AI•San Francisco, CA

2d•Remote

About The Position

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Trust & Safety Associate Reports to: Sr. Manager of Operations: Fraud, Integrity & Compliance Location: SF / Remote About the Role We are seeking a Trust & Safety Associate to help protect the integrity of our expert contributor ecosystem. Reporting to the Sr. Manager of Operations: Fraud, Integrity & Compliance, you will execute investigations, identify emerging fraud patterns, and support the development of operational controls that safeguard workforce quality and compliance. You will help ensure that our team of expert contributors (ECs) are who they are, located where they are, and remain compliant with our community guidelines and standards of operation. If you thrive in dynamic environments, excel at investigation and pattern identification, and are motivated by the challenge of the ever-changing threat actor landscape while delivering impact for some of the world’s largest enterprises, we’d love to hear from you.

Requirements

2–4 years of experience in Trust & Safety, Fraud Operations, Risk Operations, Investigations, Customer Support Operations, Analytics, or a related operational role.
Genuine interest in the evolving fraud landscape.
Demonstrated ability to improve operational processes, manage competing priorities, and execute effectively in ambiguous environments.
Ability to clearly articulate project status, risks, and solutions to both technical and non-technical audiences.
Comfortable working with data to investigate anomalies and identify trends.
Able to write and modify SQL queries independently, leveraging AI tools where appropriate to accelerate analysis.
Thrive in fast-paced, high-growth environments where priorities evolve quickly.
Ability to identify patterns in large datasets, investigate anomalies, and make sound decisions with incomplete information.

Nice To Haves

Experience working in data, AI/ML, or enterprise SaaS environments.
Previous experience in fraud or workforce integrity.

Responsibilities

Review suspicious activity, conduct investigations, document findings, and recommend appropriate enforcement actions in accordance with company policies.
Be responsible for running daily operational investigation runbooks to identify fraud and integrity issues in our community.
Identify emerging risk trends and contribute to the development and refinement of operational runbooks that detect and mitigate fraud and integrity risks.
Partner with Operations, Expert Supply, Legal, and Product teams to ensure integrity requirements are reflected throughout the contributor lifecycle.
Monitor fraud-prevention vendors, identify gaps in coverage, and provide recommendations to improve detection and enforcement outcomes.
Produce reporting on fraud trends, enforcement actions, and operational impact, and support efforts to quantify risk exposure and mitigation opportunities.