Trust and Safety Specialist

Job not on LinkedIn

đŸ”„ 1 hour ago

đŸ‡ČđŸ‡œ Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✹ Safety Specialist

đŸ‘» Ghost score 10%

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Logo of Welo Global

Welo Global

1001 - 5000 employees

đŸ€– Artificial Intelligence

đŸ€ B2B

☁ SaaS

Artificial Intelligence ‱ B2B ‱ SaaS

Welo Global is a multilingual content, data, and AI solutions company that provides enterprise-focused localization, regulated translation, and AI training data through a family of brands (including Welocalize, Park IP, Welo Life Sciences, Welo Data, and Adapt). It combines domain expertise, proprietary AI tools (e. g. , the Opal suite), governed global workforces, and compliance certifications to support use cases across global marketing, intellectual property and legal translations, life sciences regulatory and clinical documentation, and AI model development. The company emphasizes scalable, AI-enabled platforms and workflows to deliver high-quality multilingual content and structured datasets in 300+ languages for corporate clients.

📋 Description

‱ Run fraud investigations end-to-end by triaging flagged accounts, reviewing identity, behavioral, and platform activity evidence, reaching dispositions, and processing removals ‱ Verify identity and location signals for flagged or high-risk accounts ‱ Conduct manual audits and reviews, prioritizing cases by risk and signal strength ‱ Detect multi-accounting and account integrity abuse using linked-account, device, location, and behavioral patterns ‱ Apply hypothesis-driven investigation methods and produce replicable, auditable dispositions ‱ Escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team ‱ Handle sensitive data using GDPR-aligned data handling and deletion practices ‱ Collaborate with Research Labs, Quality Strategy Architecture, and Forward Deployment Engineering on tooling and process improvements

🎯 Requirements

‱ 5+ years in a T&S, fraud/risk, or identity-verification investigations role ‱ Direct experience with identity/fraud signals, including device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring ‱ Experience recognizing multi-accounting and account integrity abuse patterns ‱ Strong case documentation discipline and evidence-backed case notes ‱ Ability to prioritize investigation queues by risk and signal strength ‱ Working knowledge of GDPR or equivalent data privacy obligations for case handling and data retention/deletion ‱ Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms is nice to have ‱ Exposure to rule-based fraud detection engines is nice to have ‱ Familiarity with clustering/anomaly-detection approaches to fraud is nice to have ‱ Case management system experience is nice to have ‱ Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field is recommended ‱ Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree ‱ Relevant certifications such as CFE, CAMS, or IDV/identity risk vendor certifications are a plus

đŸ–ïž Benefits

‱ Remote work arrangement ‱ Opportunity to work with a global, distributed workforce ‱ Work on multilingual GenAI data and evaluation systems ‱ Professional collaboration with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering

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